D2L Book


Topic Replies Activity
Dive into Deep Learning - The Book 3 December 12, 2018
Installation 40 September 21, 2019
Environment 2 September 19, 2019
Using AWS to Run Code 3 September 18, 2019
Downloaded all the notebooks 1 September 15, 2019
Implementation of a Recurrent Neural Network from Scratch 2 September 11, 2019
Weight Decay 3 September 11, 2019
Layers and Blocks 2 September 11, 2019
Softmax Regression 5 September 8, 2019
Preface 10 August 31, 2019
Automatic Differentiation 15 August 29, 2019
Momentum 2 August 27, 2019
Language Model Data Sets 2 August 19, 2019
Network in Network (NiN) 3 August 18, 2019
Convolutional Neural Networks (LeNet) 8 August 18, 2019
From Dense Layers to Convolutions 5 August 17, 2019
Problems with d2l module attributes 1 August 13, 2019
Numerical Stability and Initialization 5 August 12, 2019
Multilayer Perceptron in Gluon 2 August 12, 2019
Multilayer Perceptron 2 August 12, 2019
Softmax Regression in Gluon 11 August 12, 2019
Softmax Regression from Scratch 2 August 11, 2019
Gluon Implementation of Linear Regression 4 August 10, 2019
Naive Bayes Classification 16 August 8, 2019
Anchor Boxes 3 July 30, 2019
Linear algebra 2 July 25, 2019
Manipulating Data with ndarray 17 July 23, 2019
Cannot install mxnet-cu101==1.4.0 9 July 23, 2019
Image Classification Data (Fashion-MNIST) 5 July 22, 2019
Porting example to C++ 3 July 5, 2019