Topic 711: Introduction to Neural Networks and Deep Learning 1020


Title (link) Author Date Votes Error
Nothing but Net(works) Tom McCoy 2017
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Deep Learning: Theory, Algorithms, and Applications Author Unknown 2017
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Common Neural Network Activation Functions rubikscode 2017
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Network Science Albert-Laszlo Barabasi 2015
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Artificial Neural Networks with Python - 5 - Single Layer Neural Net Cristi Vlad 2017
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Artificial Neural Networks with Python - 1 - Introduction Cristi Vlad 2017
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Applications of Deep Neural Networks Jeff Heaton 2018
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DeepLearning.TV Author Unknown 2015
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A Step by Step Introduction to Deep Learning with Python: Day 1 - What is Deep Learning? Machine Learning TV 2017
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NIPS 2016 Spotlight Videos NIPS Conference 2016
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Alena Kruchkova Youtube Channel Alena Kruchkova 2017
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But what *is* a Neural Network | Deep learning, Part 1 3Blue1Brown 2017
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Deeplearning.ai Author Unknown 2017
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Deep Learning Book Part 1 Alena Kruchkova 2017
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Neural Networks for Machine Learning Geoffrey Hinton 2016
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Intro to ML Lecture Notes NYU DL 2018
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CMU Neural Nets for NLP 2017 Graham Neubig 2017
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Deep Learning Book Part 2 Alena Kruchkova 2017
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Neural Networks and Deep Learning (Course 1 of the Deep Learning Specialization) Author Unknown 2017
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Applied Deep Learning - Part 1: Artificial Neural Networks Arden Dertat 2017
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Improving Deep Neural Networks: Hyperparameter Author Unknown 2017
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CMU Neural Nets for NLP 2017(9): Attention Graham Neubig 2017
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Part 1 - Artificial Neural Networks Author Unknown 2017
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Information Theory of Deep Learning Naftali Tishby 2017
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CS224N Midterm Review Nishith Khandwala, Barak Oshri, Lisa Wang, Juhi Naik 2017
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Structuring Machine Learning Projects (Course 3 of the Deep Learning Specialization) Author Unknown 2017
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Applied Deep Learning - Part 2: Real World Case Studies Arden Dertat 2017
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Deep Learning Gilles Louppe 2019
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Part 2 - Case Studies Author Unknown 2017
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Deeplearning.ai Author Unknown 2017
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Title (link) Lecturer Date Votes Error
Feedforward neural network - capacity of single neuron Hugo Larochelle 2017
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CS11-747 Neural Networks for NLP Unsupervised and Semi-supervised Graham Neubig 2017
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Deep learning Hugo Larochelle 2017
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Deep Graphical Models II David McAllester 2017
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Intro to Deep Learning Tess Fernandez 2018
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Neural Networks in Structured Prediction Chris Dyer 2015
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Autoencoder - definition Hugo Larochelle 2017
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Autoencoder - denoising autoencoder Hugo Larochelle 2017
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The mathematics of deep learning Kian Katanforoosh 2018
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Introduction to Deep Learning Alexander Amini 2018
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Neural networks David Sontag 2016
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Training neural networks - empirical risk minimization Hugo Larochelle 2017
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Neural network Jinho D. Choi 2017
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Neural networks Autoencoder - undercomplete vs. overcomplete hidden layer Hugo Larochelle 2017
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CS11-747 Neural Networks for NLP Debugging Neural Networks for NLP Graham Neubig 2017
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Sparse coding - dictionary update with projected gradient descent Hugo Larochelle 2017
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Gradients as Dual Vectors David McAllester 2017
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Neural Network Methods for Natural Language Processing Yoav Goldberg 2017
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Deep learning - motivation Hugo Larochelle 2017
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Restricted Boltzmann machine Hugo Larochelle 2017
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Neural Nets (wrap-up) and Decision Trees Pieter Abbeel, Dan Klein 2018
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Neural Networks Ansaf Salleb-Aouissi 2014
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Deep learning - dropout Hugo Larochelle 2017
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Neural Networks for NLP Julia Hockenmaier 2018
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VIP Cheatsheet: Deep Learning Afshine Amidi and Shervine Amidi 2018
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Deep Learning & Neural Networks Nathan Schneider 2018
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Feedforward neural network Hugo Larochelle 2017
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A SUBJECT OVERVIEW Trevor Cohn 2018
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Deep learning - variational bound Hugo Larochelle 2017
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Introduction and Historical Notes David McAllester 2017
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Feed-forward neural network - capacity of neural network Hugo Larochelle 2017
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Training neural networks - activation function derivative Hugo Larochelle 2017
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Neural Networks for Machine Learning Roger Grosse 2018
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Autoencoders Hugo Larochelle 2017
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Introduction to Deep Learning Svetlana Lazebnik 2018
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Dive into Deep Learning MXNet Community 2018
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Morphological analysis Tom Kwiatkowski 2016
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Feedforward neural network - biological inspiration Hugo Larochelle 2017
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Neural Networks from Scratch Kai-Wei Chang 2016
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Deep learning - DBN pretraining Hugo Larochelle 2017
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Rate-Distortion Autoencoders David McAllester 2017
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Natural language processing - tree inference Hugo Larochelle 2017
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Autoencoder - linear autoencoder Hugo Larochelle 2017
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Fisher Linear Discriminants Ricardo Gutierrez-Osuna 2013
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Backpropagation Matt Gormley 2016
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Training neural networks - parameter gradient Hugo Larochelle 2017
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Neural Networks Yoav Artzi 2018
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Training neural networks - loss function Hugo Larochelle 2017
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Natural language processing - hierarchical output layer Hugo Larochelle 2017
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Computation Graphs and Backpropagation David McAllester 2017
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Sparse coding - dictionary update with block-coordinate descent Hugo Larochelle 2017
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Restricted Boltzmann machine - persistent CD Hugo Larochelle 2017
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Neural Networks Richard Socher 2018
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PCA and Neural Networks Matt Gormley 2016
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Training neural networks - parameter initialization Hugo Larochelle 2017
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Deep Graphical Models I David McAllester 2017
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Lecture 2: Elements of Neural NLP Kevin Gimpel 2017
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Introduction to Neural Networks and Deep Learning Dragomir Radev 2017
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Sparse coding - online dictionary learning algorithm Hugo Larochelle 2017
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Autoencoder - contractive autoencoder Hugo Larochelle 2017
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Autoencoder - example Hugo Larochelle 2017
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Introduction to Deep Learning Kian Katanforoosh 2018
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How to Use Tensorboard (LIVE) Siraj Raval 2017
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La Revanche Des Neurones Dominique Cardon, Jean-Philippe Cointet, Antoine Maziéres 2018
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Neural Networks, Backpropagation, Recurrent Networks, Convolutional Networks, Deep Belief Networks, Deep Boltzman Machines Maria-Florina Balcan 2015
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Training neural networks Hugo Larochelle 2017
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Exotic Deep Learning Efstratios Gavves 2018
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Lecture 1: Introduction Kevin Gimpel 2017
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Sparse coding Hugo Larochelle 2017
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Sparse coding - inference (ISTA algorithm) Hugo Larochelle 2017
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Feedforward neural network - artificial neural network Hugo Larochelle 2017
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Feedforward neural network - multilayer neural network Hugo Larochelle 2017
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Deep Neural Networks Kian Katanforoosh 2018
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Restricted Boltzmann machine - inference Hugo Larochelle 2017
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Introduction to Deep Learning Alexander Amini 2019
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Toward Theoretical Understanding of Deep Learning Sanjeev Arora 2018
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Neural Networks Dan Roth 2018
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Learning with neural networks Efstratios Gavves 2018
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Lecture 10: Neural Networks for NLP Kevin Gimpel 2016
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Review of fundamentals Hugo Larochelle 2017
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Introduction To Deep Learning Alexander Amini 2018
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Restricted Boltzmann machine - free energy Hugo Larochelle 2017
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Training neural networks - regularization Hugo Larochelle 2017
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Restricted Boltzmann machine - contrastive divergence (parameter update) Hugo Larochelle 2017
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Introduction to Neural Networks and Deep Learning Dragomir Radev 2018
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Deep learning in the brain Blake Aaron Richards 2018
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Representation of Stationary Process Joan Bruna 2016
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Unsupervised, Generative & Adversarial Networks Efstratios Gavves 2018
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CS11-747 Neural Networks for NLP Multi-task, Multi-lingual Graham Neubig 2017
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Deep learning - example Hugo Larochelle 2017
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Neural Networks II Furong Huang 2018
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Restricted Boltzmann machine - contrastive divergence Hugo Larochelle 2017
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Autoencoder - loss function Hugo Larochelle 2017
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Deep learning - deep belief network Hugo Larochelle 2017
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Deep Learning Percy Liang 2017
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Neural Networks: Part 1 Hugo Larochelle 2018
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Deep Learning Yejin Choi 2018
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Deep Learning & HPC Efstratios Gavves 2018
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Restricted Boltzmann machine - extensions Hugo Larochelle 2017
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Introduction Kian Katanforoosh 2018
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Deep Reinforcement Learning Pieter Abbeel 2017
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Neural Networks I Furong Huang 2018
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Deep learning - unsupervised pre-training Hugo Larochelle 2017
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Sparse coding - definition Hugo Larochelle 2017
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Restricted Boltzmann machine - example Hugo Larochelle 2017
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Variational Autoencoders David McAllester 2017
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Neural Networks: Part 2 Hugo Larochelle 2018
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Neural Networks in Structured Prediction 2 Chris Dyer 2015
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Feedforward neural network - activation function Hugo Larochelle 2017
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Introduction to Neural Networks and Deep Learning Efstratios Gavves 2018
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Deep Learning Intuition Kian Katanforoosh 2018
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Deep Learning II Furong Huang 2018
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Deep learning - deep autoencoder Hugo Larochelle 2017
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Title (link) Author Date Votes Error
Temporal Difference Learning Andrew Barto 2007
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Title (link) Author Date Votes Error
Deep Learning Methods and Applications Li Deng, Dong Yu 2017
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An Introduction to Neural Information Retrieval Bhaskar Mitra, Nick Craswell 2017
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Neural Network Methods for Natural Language Processing Yoav Goldberg 2017
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A Gentle Introduction To Neural Networks Series_- Part 1 David Fumo 2017
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Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python Sebastian Raschka 2016
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Natural Language Processing Jacob Eisenstein 2018
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Natural Language Processing with Deep Learning: Lecture Notes: Part 5 Christopher Manning, Rchard Socher 2017
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Deep Learning in Neural Networks: An Overview J?rgen Schmidhuber 2014
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cs231n: lecture videos Andrej Karpathy 2016
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Learning Book Author Unknown 1181
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A Statistical View of Deep Learning Shakir Mohamed 2015
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Introduction to Machine Learning Ethem Alpaydin 2010
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Everything you need to know about Neural Networks Kailash Ahirwar 2017
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Towards Automatically-Tuned Deep Neural Networks Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Matthias Urban, Michael Burkart, Max Dippel, Marius Lindauer, Frank Hutter 2018
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Natural Language Processing with Deep Learning: Lecture Notes: Part 6 Christopher Manning, Rchard Socher 2017
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Lecture Slides for the Oxford Deep Natural Language Processing Course Phil Blunsom, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Andrew Senior, Wang Ling, Jeremy Appleyard 2017
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6.S191: Introduction to Deep Learning Nick Locascio, Harini Suresh 2017
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What is a CapsNet or Capsule Network? Debarko De 2017
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A Brief Introduction to Neural Networks David Kriesel 2018
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A Primer on Neural Network Models for Natural Language Processing Yoav Goldberg 2015
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Deep Learning: An Introduction for Applied Mathematicians Catherine F. Higham, Desmond J. Higham 2018
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Natural Language Processing with Deep Learning: Lecture Notes: Part 7 Christopher Manning, Rchard Socher 2017
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A Tutorial on Deep Learning Part 1: Nonlinear Classifiers and The Backpropagation Algorithm Quoc V. Le 2015
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Deep models for Paraphrase and Summarization Yitong 2017
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Bayesian Reasoning and Machine Learning David Barber 2016
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How to Automatically Generate Textual Descriptions for Photographs with Deep Learning Jason Brownlee 2017
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Natural Language Processing with Deep Learning: Lecture Notes: Part 8 Christopher Manning, Rchard Socher 2017
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A Tutorial on Deep Learning Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural Networks Quoc V. Le 2015
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A Selective Overview of Deep Learning Jianqing Fan 2019
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Machine Learning Raymond J. Mooney 1181
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Natural Language Processing Jacob Eisenstein 2018
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A Beginner's Guide to the Mathematics of Neural Networks A. C. C. Coolen 1181
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Neural Building Blocks Author Unknown 1181
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Brief Introduction to Machine Learning without Deep Learning Kyunghyun Cho 2018
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Natural Language Processing with Deep Learning: Lecture Notes: TensorFlow Christopher Manning, Rchard Socher 2017
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Modules Outline Philip Schulz and Wilker Aziz 1181
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Dive into Deep Learning Aston Zhang 2019
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Natural Language Processing Jacob Eisenstein 2018
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How to Win at Deep Learning Pradeep Mutalik 2017
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Notes on Deep Learning for NLP Antoine J.-P. Tixier 1181
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A Gentle Intro to Transfer Learning Slav Ivanov 2017
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A Probabilistic Theory of Deep Learning Ankit B. Patel, Tan Nguyen, Richard G. Baraniuk 2015
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Non-Convex Optimization for Machine Learning Prateek Jain, Purushottam Kar 2017
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Notation Philip Schulz and Wilker Aziz 1181
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Deep Learning with Python Francois Chollet 2017
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CS 224D: Deep Learning for NLP, Lecture Notes 1 Francois Chaubard, Rohit Mundra, Richard Socher 2015
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Neural networks class - Université de Sherbrooke Hugo Larochelle 2016
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Solution: How to Win at Deep Learning Pradeep Mutalik 2017
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Deep Learning Tutorials Lisa Lab 2010
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A Tour of The Top 10 Algorithms for Machine Learning Newbies Sunil Ray 2018
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Computer Vision by Andrew Ng_- 11 Lessons Learned Ryan Shrott 2017
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DeepAA OsciiArt 2017
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Analysis of the AutoML Challenge series 2015-2018 Isabelle Guyon and Lisheng Sun-Hosoya and Marc Boull ?e and Hugo Jair Es- calante and Sergio Escalera and Zhengying Liu and Damir Jajetic and Bisakha Ray and Mehreen Saeed and Michele Sebag and Alexan 2018
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Deep Learning for Natural Language Processing Tianchuan Du, Vijay K. Shanker 2013
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Machine Learning for NLP Charu C. Aggarwal 2018
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Deep Learning - The Straight Dope Zack Chase Lipton, Aston Zhang, Mu Li, Eric Junyuan Xie, Steffen Rochel 2017
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CS 224D: Deep Learning for NLP, Lecture Notes 2 Francois Chaubard, Rohit Mundra, Richard Socher 2015
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Deep learning at Oxford 2015 Nando de Freitas 2015
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Deep Learning Book Playlist Author Unknown 2017
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Natural Language Processing with Deep Learning: Lecture Notes: Part 1 Christopher Manning, Rchard Socher 2017
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Unsupervised Learning Zoubin Ghahramani 2005
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Deep Learning Ian Goodfellow and Yoshua Bengio and Aaron Courville 2016
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Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data Stefan Kojouharov 2017
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Deep Learnnig at Oxford 2015 Nando de Freitas 2015
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Lecture Notes: Some notes on gradient descent Marc Toussaint 2012
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Deep Learning Methods and Applications Li Deng and Dong Yu 2014
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Pattern Recognition and Machine Learning Christopher M. Bishop 2006
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A Survey of the Usages of Deep Learning in Natural Language Processing Daniel W. Otter, Julian R. Medina, Jugal K. Kalita 1181
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Natural Language Processing with Deep Learning: Lecture Notes: Part 2 Christopher Manning, Rchard Socher 2017
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Deep Learning Tutorial LISA Lab 2015
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Towards Automatically-Tuned Deep Neural Networks Hector Mendoza and Aaron Klein and Matthias Feurer and Jost Tobias Springenberg and Matthias Urban and Michael Burkart and Max Dippel and Marius Lindauer and Frank Hutter 1181
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A tutorial survey of architectures, algorithms, and applications for deep learning Li Deng 2014
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Information Theory, Inference, and Learning Algorithm David J. C. MacKay 2003
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Practical Deep Learning For Coders, Part 1, Jeremy Howard 2016
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Natural Language Processing with Deep Learning: Lecture Notes: Part 3 Christopher Manning, Rchard Socher 2017
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Deep Learning Ian Goodfellow and Yoshua Bengio and Aaron Courville 2016
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Generative Learning algorithms Andrew Ng 2017
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NLP DL lecture notes NYU Kyunghyun Cho 2017
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A Course in Machine Learning Hal Daume III 2017
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Introduction to Deep Learning for Natural Language Processing Bargava 2016
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Neural Networks and Deep Learning Michael Nielsen 2017
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Natural Language Processing with Deep Learning: Lecture Notes: Part 4 Christopher Manning, Rchard Socher 2017
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Mastering the game of Go with deep neural networks and tree search David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik 2016
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Neural Dep Srl Marcheggiani, Anton Fr 2017
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NLP_from_scratch Lajanugen Logeswaran 2015
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NLP-Stuff: Programs with word vectors, RNN, NLP stuff, etc. Adit Deshpande 2017
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Perceptron Caspar Wylie 2017
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Deep Reinforcement Learning Agents Awjuliani 2017
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Neural Network code in C Armand Joulin 2014
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Practical Machine Learning with Python dipanjanS 2018
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State-of-the-art Result for all Machine Learning Problems Reddit Sota 2017
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NL2code Pengcheng Yin, Graham Neubig 2017
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fastai v1 for PyTorch: Fast and accurate neural nets using modern best practices Jeremy Howard 2018
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Implementing a Neural Network from Scratch Denny Britz 2015
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SVCCA Maithra Raghu, Justin Gilmer, Jason Yosinski, Jascha Sohl-Dickstein 2017
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Sequence Modeling Benchmarks and Temporal Convolutional Networks (TCN) Shaojie Bai, J. Zico Kolter and Vladlen Koltun 2018
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Stanza Author Unknown 2017
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Fabrik Author Unknown 2017
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Deep Learning Tutorial for Beginners Kaan Can 2018
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Algorithm on FrozenLake-v0 Malzantot 2017
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Code samples for "Neural Networks and Deep Learning" Michael Nielsen 2012
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conllu.js: CoNLL-U format library for JavaScript spyysalo 2014
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text2text: Implementation of variants of Sequence to Sequence model Sascha Rothe, Mostafa Dehghani 2017
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Practicals Author Unknown 2018
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SciTail yinwenpeng 2018
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finetune-transformer-lm openai 2018
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MXNet Tianqi Chen, Mu Li, Eric Junyuan Xie, Bing Xu, Chiyuan Zhang, Yizhi Liu, Tianjun Xiao, Yutian Li, Yuan (Terry) Tang, Hu Shiwen, Qiang Kou (KK), Xingjian Shi, Yao Wang, Sandeep Krishnamurthy, Chuntao H 2015
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NNBlocks Frederico Tommasi Caroli 2016
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Artificial Neural Networks in Python Cristi Vlad 2017
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deepnet: Implementation of some deep learning algorithms Nitish Srivastava 2012
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Neural Networks demo in Javascript Andrej Karpathy 2017
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Dataset for Inferring Missing Entity Type Instances for Knowledge Base Completion Author Unknown 2016
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KL Divergence Thushan Ganegedara 2018
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OpenNN: High Performance library for Advanced Analytics OpenNN 2018
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DeepQNetwork Ppwwyyxx 2017
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Awesome NLP Resources for Hungarian Gyorgy Orosz 2017
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Allen NLP The Allen Institute for Artificial Intelligence 2017
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BioPy David Cunningham, Jared M. Smith 2015
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AllenNLP Tutorials Allen AI 2018
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End-to-End Differentiable Proving Tim Rocktschel, Sebastian Riedel 2017
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DeepLearning with Tensorflow Keras GKarmakar 2017
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ChainsofReasoning rajarshd 2017
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Entity-Duet Neural Ranking Model Zhenghao Liu, Chenyan Xiong, Maosong Sun and Zhiyuan Liu 2018
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A3C-Gym Ppwwyyxx 2017
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Lime: Explaining the predictions of any machine learning classifier Marco Tulio Correia Ribeiro 2017
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ONNX ONNX 2018
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The ClueWeb12 Dataset Author Unknown 2013
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Datasets for Data Science and Machine Learning Author Unknown 2017
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Vanishing Gradients sleebapaul 2017
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HNATT Zichao Yang 2016
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Pyevolve Christian S. Perone, Amit Saha 2010
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ResearchCyc Author Unknown 2018
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Neural Network with Backpropagation Matt Mazur 2015
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Concrete solutions to real problems Emmanuel Ameisen 2018
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Neural Network from Scratch Sarthak Gupta 2017
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gans: Generative Adversarial Networks diegoalejogm 2018
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Deep Math Machine Learning.ai Madhu Sanjeevi 2017
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Datasets for Natural Language Processing Kyubyong 2017
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Companion Jupyter notebooks for the book "Deep Learning with Python" Fchollet 2017
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pynlp Stanford CoreNLP 2017
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Neural relational inference for interacting systems Tomas Kipf 2018
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Practical Advice for Building Deep Neural Networks Matt H, Daniel R 2017
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Recent Advances for a Better Understanding of Deep Learning ? Part I Arthur Pesah 2018
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Interpreting Machine Learning Models: An Overview Matthew Mayo, KDnuggets 2017
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5 Heroic Python NLP Libraries Author Unknown 2017
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A “weird” introduction to Deep Learning Favio Vazquez 2018
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Data Science Blogs Data Incubator 2017
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Learning to Learn 2017
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Understanding Learning Rates and How It Improves Performance in Deep Learning Hafidz Sulkifli 2018
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Comparison of Deepnet and Neuralnet Vincent Granville 2017
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Revisiting Deep Learning as a Non-Equilibrium Process Carlos E. Perez 2017
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Deep Semantic Similarity Model Author Unknown 2017
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How many layers do you need? Naftali Cohen 2018
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Teaching a Variational Autoencoder (VAE) to draw MNIST characters Felix Mohr 2017
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Siraj Raval Youtube Channel Siraj Raval 2017
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Deep study of a not very deep neural network. Part 2: Activation functions Rinat Maksutov 2018
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Building a Deep Neural Net in Google Sheets Blake West 2018
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A Cookbook for Machine Learning: Vol 1 Ferenc Huszar 2017
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cs231n Assignment 1 Andrej Karpathy 2017
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Deep Learning for NLP at Oxford with Deep Mind 2017 Zafarullah Mahmood 2017
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10 Things to Think About Before Starting to Code Your Deep Neural Network Gal Yona 2017
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Fundamentals of Deep Learning - Activation Functions and When to Use Them? Dishashree Gupta 2017
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An Overview of Deep Learning for Curious People Lilian Weng 2017
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What a Disentangled Net We Weave: Representation Learning in VAEs (Pt. 1) Cody Marie Wild 2018
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Machine Learning: An In-Depth Guide - Model Performance and Error Analysis Alex Castrounis 2018
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Open Machine Learning Course. Topic 5. Bagging and Random Forest Yury Kashnitskiy 2018
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DeepVarient: Highly Accurate Genomes with Deep Neural Networks Mark DePristo, Ryan Poplin 2017
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7 Applications of Deep Learning for Natural Language Processing Jason Brownlee 2017
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A Complete Machine Learning Walk-Through in Python: Part Two William Koehrsen 2018
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Everything you need to know about AutoML and Neural Architecture Search George Seif 2018
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Under The Hood of Neural Networks. Part 1: Fully Connected. Andrey Sakryukin 2018
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Multi-Layer Neural Networks with Sigmoid Function - Deep Learning for Rookies (2) Nahua Kang 2017
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12 Frequently Asked Questions on Deep Learning (with their answers)! Analytics Vidhya Content Team 2018
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From GAN to WGAN Lilian Weng 2017
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Chapter 9 : Natural Language Processing. Madhu Sanjeevi 2017
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Machine Learning Algorithms: Which One to Choose for Your Problem Daniil Korbut 2017
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Deep Learning for Beginners Jordi TORRES.AI 2018
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Calculus for Deep Learning Various Authors 2017
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A Soft Introduction to Neural Networks Shubhang Desai 2017
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Deep Learning cheatsheet Shervine Amidi 2018
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Deep learning architecture diagrams Zygmunt Z 2016
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