D2L Book


Topic Replies Activity
Dive into Deep Learning - The Book 3 December 12, 2018
Preface 8 May 18, 2019
Gated Recurrent Unit (GRU) 2 May 17, 2019
Softmax Regression in Gluon 2 May 16, 2019
Automatic Differentiation 6 May 15, 2019
Installation 31 May 13, 2019
Gluon Implementation in Recurrent Neural Networks 2 May 11, 2019
Study Group for Exercises 1 May 9, 2019
Back-propagation Through Time 2 May 2, 2019
Adagrad 3 April 28, 2019
Image Classification Data (Fashion-MNIST) 2 April 27, 2019
Probability and statistics 5 April 20, 2019
Text Sentiment Classification: Using Recurrent Neural Networks 5 April 19, 2019
Adam method 3 April 18, 2019
Clarifying D2L 7.1 2 April 17, 2019
Manipulating Data with ndarray 13 April 15, 2019
How to implement a parallel block? 3 April 14, 2019
7.2.1 Clarification 1 April 13, 2019
Implementing a Multilayer Perceptron from Scratch 5 April 7, 2019
Cannot install mxnet-cu101==1.4.0 6 April 7, 2019
Introduction 5 April 4, 2019
From Dense Layers to Convolutions 3 March 31, 2019
Gluon Implementation of Linear Regression 3 March 28, 2019
Naive Bayes Classification 4 March 23, 2019
How to Contribute to This Book 7 March 22, 2019
Error: Module 'gluonbook' has no attribute 'accuracy 2 March 21, 2019
Convolutional Neural Networks (LeNet) 4 March 19, 2019
Sampling 3 March 12, 2019
Incomplete translation from Chinese to English 5 November 27, 2018
Softmax Regression 2 March 4, 2019