Topic 744: Convolutional Neural Networks 242


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Automatic Generation of Story Highlights Data Set Kristian Woodsend, Mirella Lapata 2010
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Understanding Convnets and Knowledge Transfer Efstratios Gavves 2018
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CNNs for dense image labeling Svetlana Lazebnik 2018
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Computer vision - discrete convolution Hugo Larochelle 2017
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Convolutional neural networks for NLP Yangfeng Ji 2018
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Natural language processing - convolutional network Hugo Larochelle 2017
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Introduction to Convolutional Neural Networks Jon Shlens 2018
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Transformer Networks and CNNs Richard Socher 2018
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Convolutional Networks Roger Grosse 2018
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Convolutional Neural Networks Kian Katanforoosh 2018
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Understanding How ConvNets Works Roger Grosse 2018
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Convolutional Neural Networks Stephen Clark 2017
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Object Detection Kian Katanforoosh 2018
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CNNs Matt Gormley 2016
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Neural Nets IV: CNNs, Neural CRFs Greg Durrett 2018
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Face recognition Kian Katanforoosh 2018
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CNN and near-diagonalisation Joan Bruna 2016
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Convolutions François Fleuret 2019
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Convolutional Neural Networks (for NLP) Richard Socher 2016
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Pooling François Fleuret 2019
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Convolutional Neural Networks Dragomir Radev 2017
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CS11-747 Neural Networks for NLP Convolutional Networks Graham Neubig 2017
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Transposed convolutions François Fleuret 2019
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Convolutional Neural Networks Dragomir Radev 2018
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Convolutional networks Svetlana Lazebnik 2018
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Convolutional Neural Networks — CNNs David McAllester 2017
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Object detection Svetlana Lazebnik 2018
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Modelling, visualising and summarising documents with a single convolutional neural network Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas 2014
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A Convolutional Attention Network for Extreme Summarization of Source Code Miltiadis Allamanis, Hao Peng, Charles Sutton 2016
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Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal, Jean Ogier du Terrail, Frédéric Jurie 2018
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Deep Learning on Graphs: A Survey "Ziwei Zhang, Peng Cui and Wenwu Zhu" 2018
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Convolutional Neural Networks (CNNs): An Illustrated Explanation Abhineet Saxena 2016
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Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal and Jean Ogier Du Terrail and Fr{\'{e}}d{\'{e}}ric Jurie 2018
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What a Deep Neural Network thinks about your #selfie Andrej Karpathy 2015
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Recent Progress on CNNs for Object Detection and Image Compression Rahul Sukthankar 2017
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Notes for CS231n: Convolutional Neural Networks for Visual Recognition Andrej Karpathy 2017
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A Survey on Deep Learning in Medical Image Analysis "Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A.W.M. van der Laak, Bram van Ginneken, Clara I. Sanchez" 2017
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Practical_2_Convolutional_Neural_Networks Deep Learning Indaba 2018
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Convolutional Neural Network for Text Classicaition in TensorFlow Denny Britz 2015
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Pretrained ConvNets for pytorch Remi Cadene 2018
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Graph Convolutional Networks Thomas N. Kipf, Max Welling 2017
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Graph Convolutional Networks in PyTorch Thomas Kipf 2018
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ConvNetJS Andrej Karpathy 2015
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Can Convolutional Neural Networks Crack Sudoku Puzzles? Kyubyong 2017
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NeuralKart - A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER rameshvarun 2017
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Sentence Convolution Code in Torch Yoon Kim 2017
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Convolutional Neural Networks for Sentence Classification Yoon Kim 2016
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SoundNet: Learning Sound Representations From Unlabeled Video Yusuf Aytar, Carl Vondrick, Antonio Torralba 2016
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LeNet-5, convolutional neural networks Author Unknown 2017
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Convolutional Neural Network demo Siraj Raval 2017
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Convolutional VAE: An example with tf.keras and eager tensorflow 2018
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Sign-Language Dibakar Saha 2018
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Character-level text classification puyash 2017
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Multi-Perspective Convolutional Neural Networks for Modeling Textual Similarity hohoCode 2017
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MNIST classification by TensorFlow Yoshihiro Sugi 2017
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Convolutional Neural Networks for Matlab for classification and segmentation Sergey Demyanov 2013
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Convolutional Neural Net - Basic TensorFlow Cam Nugent 2017
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convisualize Sarthak Gupta 2018
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Convolutional networks ml4a 2018
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Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow Matterport 2017
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pixel-cnn++ Tim Salimans, Andrej Karpathy, Xi Chen, Diederik P. Kingma, and Yaroslav Bulatov 2017
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Convolution arithmetic Vincent Dumoulin, Francesco Visin 2018
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Convolutional neural networks, Part 1 Adrian Colyer 2017
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Building a convolutional neural network for natural language processing David Bressler 2018
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Build Your Own Convolution Neural Network in 5 mins Rohith Gandhi 2018
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Understanding Graph Convolutional Networks Irene Li 2019
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Applied Deep Learning - Part 4: Convolutional Neural Networks Arden Dertat 2017
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A deeper look at “Deep” Independent Component Analysis in Tensorflow [Manual Back Prop in TF] Jae Duk Seo 2018
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[Tensorflow] Implementing Temporal Convolutional Networks CeShine Lee 2018
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Derivation of Convolutional Neural Network from Fully Connected Network Step-By-Step Ahmed Gad 2018
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Visualizing Convolutional Nets for NLU Tasks Hannes 2018
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Convolutional Neural Networks with TensorFlow Aditya Sharma 2018
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Deep Learning 05: Talk about Convolutional Neural Networks(CNN) Irene Li 2016
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What's Happening inside the Convolutional Neural Network? The answer is Convolution Tales Lima Fonseca 2017
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Building a Convolutional Neural Network (CNN) in Keras Eijaz Allibhai 2018
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Light on Math Machine Learning: Intuitive Guide to Convolution Neural Networks Thushan Ganegedara 2018
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Convolutional Neural Network?—?I Mandar Deshpande 2017
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Bayesian Convolutional Neural Networks with Bayes by Backprop Feliz Laumann 2018
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CNN insights: What do convolutional neural networks learn about images? Part 2 of 7 Noel Kennedy 2018
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Understanding Convolutional Neural Networks through Visualizations in PyTorch Vihar Kurama 2019
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Deep Learning?—?Convolutional Neural Networks Basic 101 Judy Shih 2018
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Why are Convnets Often Better Than the Rest? Part III Caspar Wylie 2018
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Deep Learning Book: Chapter 9— Convolutional Networks Ameya Godbole 2018
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Convolutional Neural Network?—?II Mandar Deshpande 2017
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Deep Learning for Computer Vision - going beyond image classification and regression Marcin 2017
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CNN insights: Introduction to our dataset and classification problem. Part 3 of 7 Noel Kennedy 2018
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How to do Deep Learning on Graphs with Graph Convolutional Networks Tobias Skovgaard Jepsen 2019
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Convolutional neural networks (CNN) tutorial Jonathan Hui 2017
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Why are Convnets Often Better Than the Rest? Part I Caspar Wylie 2018
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Convolutional Neural Networks: The Biologically-Inspired Model James Le 2018
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Introduction to Convolutional Neural Networks Jianxin Wu 2017
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CNN insights: Generating text to fit a CNN. Part 4 of 7 Noel Kennedy 2018
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Building Convolutional Neural Network using NumPy from Scratch Ahmed Gad 2018
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Backpropagation In Convolutional Neural Networks Jefkine 2016
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Why are Convnets Often Better Than the Rest? Part II Caspar Wylie 2018
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Training MXNet - part 2: CIFAR-10 Julien Simon 2017
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Capsule Networks and the Limitations of CNNs Soham Chatterjee 2017
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Convolutional Neural Networks in Python with Keras Aditya Sharma 2017
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CNN Insights : Hiding input tokens to reveal classification focus. Part 5 of 7 Noel Kennedy 2018
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Demystifying Convolutional Neural Networks Aegeus Zerium 2018
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Seq2Seq model using Convolutional Neural Network Gautam Karmakar 2018
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Components of convolutional neural networks John Olafenwa 2018
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Only Numpy: Implementing Convolutional Neural Network using Numpy ( Deriving Forward Feed and Back Propagation ) with interactive code Jae Duk Seo 2018
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What is wrong with Convolutional neural networks? Mahmoud Tarrasse 2018
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Fun With ConvNets (dataviz!) Kireet Reddy 2018
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CNN in numpy: Let's calculate CNN manually Chris Hoyean Song 2017
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ResNet, AlexNet, VGG, Inception: Understanding various architectures of Convolutional Networks Koustubh 2018
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CNN insights: Scoring token-sequences by their relevance. Part 6 of 7 Noel Kennedy 2018
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Building Convolutional Neural Network using NumPy from Scratch Ahmed Gad 2018
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What is wrong with convolutional neural nets? Fields Institute, 2017 | Geoffrey Hinton, U of Toronto Geoffrey Hinton 2017
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Chapter 8 .1: Code for Convolutional neural networks(Tensorflow and Keras-Theano). Madhu Sanjeevi 2017
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Only Numpy: Understanding Back Propagation for Transpose Convolution in Multi Layer CNN with Example and Interactive Code. Jae Duk Seo 2018
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Convolutional Neural Network Arunava 2018
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CNN Insights: Series conclusion. Part 7 of 7 Noel Kennedy 2018
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Transfer Learning in NLP Peter Martigny 2018
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A Friendly Introduction to Convolutional Neural Networks Ifu Aniemeka 2017
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Chapter 8 .0: Convolutional neural networks for deep learning. Madhu Sanjeevi 2017
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Derivation of Convolutional Neural Network from Fully Connected Network Step-By-Step Ahmed Gad 2018
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Demystifying Convolutional Neural Networks Ravindra Parmar 2018
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How do CNNs Deal with Position Differences Pete Warden 2017
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Forward And Backpropagation in Convolutional Neural Network. Sujit Rai 2017
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Intuitively Understanding Convolutions for Deep Learning Irhum Shafkat 2018
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Transfer Learning with Convolutional Neural Networks in PyTorch Will Koehrsen 2018
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Convolutional neural networks for language tasks Garrett Hoffman 2018
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Capsule Neural Networks: The Next Neural Networks? Part 1: CNNs and their problems. Tomer Eldor 2018
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Derivation of Convolutional Neural Network from Fully Connected Network Step-By-Step Ahmed Gad 2018
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Image Classification using Feedforward Neural Network in Keras Vikas Gupta 2017
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DL05: Convolutional Neural Networks Sarthak Gupta 2017
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Convolutional Neural Networks from the ground up Alejandro Escontrela 2018
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Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017) Fei-Fei Li, Justin Johnson, Serena Yeung 2017
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Building Convolutional Neural Network using NumPy from Scratch Ahmed Gad 2018
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Neural Net in 10 Frameworks Ilia Karmanov 2017
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Image Classification with Convolutional Neural Networks Ksenia Sorokina 2017
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Keras and Convolutional Neural Networks (CNNs) Adrian Rosebrock 2018
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Computer Vision : A study on different CNN architectures and their applications. Yash upadhyay 2019
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Do Filters Dream of Convolutional Cats Naoki Shibuya 2017
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Introducing capsule networks Aurelien Geron 2018
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Title (link) Author Date Votes Error
Visualizing convolutional neural networks Justin Francis 2016
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Convolutional Neural Network Jahan, Hryu, Hanbyuly 2017
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Convolutional Networks Ian Goodfellow and Yoshua Bengio and Aaron Courville 2016
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Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API Ahmed Gad 2018
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Graph Convolutional Networks Thomas Kipf 2017
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Convolutional Text Classification Goku Mohandas 2016
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Convolutional Neural Network Models (Case Study) Jahan, Hryu, Hanbyuly 2017
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Modèle : Réseaux à convolution 2 Alexei Nordell Markovits 2018
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"CNNs, Part 1: An Introduction to Convolutional Neural Networks" Victor Zhou 2019
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Deep Learning for Computer Vision Rob Fergus 2017
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Visualizing Convolutional Neural Networks Justin Francis 2017
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image Classification: a core task in Computer Vision Andrej Karpathy & Fei-Fei Li 2016
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Understanding deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras Ahmed Besbes 2017
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Convolutional Neural Networks Elisa Sayrol 2017
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Keras tutorial – build a convolutional neural network in 11 lines Andy Thomas 2017
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Understanding Convolutions Christopher Olah 2014
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Introduction to Convolutional Networks Richard Zemel 2017
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Implementation of Using Fast Weights to Attend To the Recent Past Goku Mohandas 2016
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Modèle : Réseaux à convolution 1 Alexei Nordell Markovits 2018
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Understanding Convolution for Deep Learning Abhijit Mondal 2017
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An Intuitive Explanation of Convolutional Neural Networks Ujjwal Karn 2016
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Backprop Andrej Karpathy & Fei-Fei Li 2016
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Convolutional and Recurrent Neural Models with Attention Xavier Giro-i-Nieto 2018
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Understanding Autoencoders using Tensorflow (Python) Aditya Sharma 2017
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ConvNetJS MNIST demo Andrej Karpathy 2013
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Convolution arithmetic tutorial LISA LAB 2008
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Conv Nets: A Modular Perspective Christopher Olah 2014
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Convolutional Neural Networks Goku Mohandas 2016
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Convolutional Neural Networks cheatsheet Shervine Amidi 2019
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A Beginner’s Guide to Convolutional Neural Networks (CNN) Derrick Mwiti 2018
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Deep Learning on Graphs with Graph Convolutional Networks Thomas Kipf 2017
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Training Neural Networks Andrej Karpathy & Fei-Fei Li 2016
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2—CONVOLUTIONAL NEURAL NETWORKS Jeremy Howard 2016
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Convolutional Networks Nando de Freitas, Martin Gorner, Karen Simonyan 2017
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Capsule Networks for NLP Will Merrill 2018
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ConvNetJS CIFAR-10 demo Andrej Karpathy 2013
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Convolutional Neural Networks on Graphs Xavier Bresson 2017
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Peeking Inside Convolutional Neural Networks Audun M. Øygard 2016
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Build Neural Network from Scratch - Part 2 David Fumo 2017
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Deep Learning #2: Convolutional Neural Networks Rutger Ruizendaal 2017
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Understanding Hinton\s Capsule Networks. Part 1. Intuition. Max Pechyonkin 2017
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Convolutional Neural Networks Andrew Ng 2019
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A Beginner's Guide To Understanding Convolutional Neural Networks Adit Deshpande 2016
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Convolutional Neural Networks (CNNs / ConvNets) Andrej Karpathy 2016
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From multiplication to convolutional networks: How to ML with Theano Yann LeCun 2017
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Graph ConvNets for Molecule Generation and Travelling Salesman Problem Xavier Bresson 2019
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Inside Deep Learning Computer Vision Convolutional Neural Networks Nikhil Buduma 2015
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A Gentle Introduction to Neural Networks Series - Part 1 David Fumo 2017
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Convolutional Neural Networks Tutorial in TensorFlow Andy Thomas 2017
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Understanding Hinton\s Capsule Networks. Part 2. How Capsules Work Max Pechyonkin 2017
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A Beginner's Guide To Understanding Convolutional Neural Networks Part 2 Adit Deshpande 2016
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Understanding CNN Andrej Karpathy 2016
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"Text Classification, Part I - Convolutional Networks" Richard Liao 2016
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Convolutional Neural Networks (LeNet) LISA LAB 2017
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How do Convolutional Neural Networks work? Brandon Rohrer 2016
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CIFAR-10 image classification with Keras ConvNet Giuseppe Bonaccorso 2017
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Rohan & Lenny #2: Convolutional Neural Networks Lenny Khazan 2016
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Understanding Hinton\s Capsule Networks. Part 3. Dynamic Routing Between Capsules Max Pechyonkin 2017
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A Comprehensive Tutorial to learn Convolutional Neural Networks from Scratch (deeplearning.ai Course #4) Pulkit Sharma 2018
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Tensorflow Tutorial 2: image classifier using convolutional neural network Ankit Sachan 2017
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Training AlexNet with tips and checks on how to train CNNs: Practical CNNs in PyTorch(1) Kushajveer Singh 2019
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A Guide to TF Layers: Building a Convolutional Neural Network - TensorFlow Tutorials TensorFlow Team 2017
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Short Introduction to Convolutions and Pooling: Deep Learning 101! Packt_Pub 2018
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Graph Convolutional Network Qi Huang, Minjie Wang, Yu Gai, Quan Gan, Zheng Zhang 2018
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Picasso: A free open-source visualizer for Convolutional Neural Networks Ryan Henderson 2017
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Understanding Hinton\s Capsule Networks. Part 4. CapsNet Architecture Max Pechyonkin 2017
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The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3) Adit Deshpande 2016
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Character-level text classification: CNN Puya Sharif 2017
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Graph Convolutional Networks for Geometric Deep Learning Flawnson Tong 2019
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Convolutional Neural Networks - TensorFlow Tutorials TensorFlow Team 2017
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A Beginner's Guide to Convolutional Neural Networks (CNNs) N/A 2019
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Deep Learning for Computer Vision - Introduction to Convolution Neural Networks Aarshay Jain 2016
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Introduction to Convolutional Neural Networks Vinod Sharma 2018
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Convolutional Methods for Text Tal Perry 2017
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How to Develop an N-gram Multichannel Convolutional Neural Network for Sentiment Analysis Jason Brownlee 2018
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Randomly wired neural networks and state-of-the-art accuracy? Yes it works George Seif 2019
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Deep MNIST for Experts TensorFlow 2017
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A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN Dhruv Parthasarathy 2017
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Computer Vision and Convolutional Neural Net Thomas Mensink 2017
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Machine Learning is Fun Part 8: How to Intentionally Trick Neural Networks Adam Geitgey 2017
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Understanding Convolutional Neural Networks for NLP Denny Britz 2015
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Understanding Convolution, the core of Convolutional Neural Networks Nick Becker 2017
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Training a Convolutional Neural Network from scratch Victor Zhou 2019
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An Intuitive Explanation of Convolutional Neural Networks Ujjwal Karn 2016
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Automated Image Captioning with ConvNets and Recurrent Nets Andrej Karpathy, Fei-Fei Li 2016
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Understanding CNNs with visualization Saurabh Pal 2019
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Deep Learning CNN’s in Tensorflow with GPUs Cole Murray 2017
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MNIST For ML Beginners TensorFlow 2017
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Classifying Cats vs Dogs with a Convolutional Neural Network on Kaggle Harrison 2018
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A Newbie’s Introduction to Convolutional Neural Networks Chi-Feng Wang 2018
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Machine Learning is Fun! The world’s easiest introduction to Machine Learning - Part 3 Adam Geitgey 2016
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Deep Learning Tutorial - Convolutional Neural Networks Chris McCormick 2014
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Convolutional Neural Networks Aaditya Prakash 2017
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Convolutions and Backpropagations Pavithra Solai 2018
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What is the difference between convolutional neural networks, restricted Boltzmann machines, and auto-encoders? ffriend 2015
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Implementing a CNN for Text Classification in TensorFlow Denny Britz 2015
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CNN insights: What do convolutional neural networks learn about free text? Noel Kennedy 2018
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Architecture of Convolutional Neural Networks (CNNs) demystified Dishashree Gupta 2017
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Sequence to sequence learning with Convolutional Neural networks Nuno Edgar Nunes Fernandes 2017
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Convolutional Neural Network Jahan, Hryu, Hanbyuly 2017
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Understanding your Convolution network with Visualizations Ankit Paliwal 2018
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Understanding Convolutional Neural Networks for NLP Denny Britz 2015
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Building Convolutional Neural Networks with Tensorflow Ahmet Taspinar 2017
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