D2L Book


Topic Replies Activity
Dive into Deep Learning - The Book 3 December 12, 2018
Calculus 1 October 18, 2019
Fully Convolutional Networks (FCN) 2 October 14, 2019
Scalars, Vectors, Matrices, and Tensors 3 October 10, 2019
Reduction, Multiplication, and Norms 1 October 10, 2019
Data Preprocessing 1 October 9, 2019
Preface 13 October 7, 2019
Language Model Data Sets 3 September 29, 2019
Implementation of a Recurrent Neural Network from Scratch 3 September 25, 2019
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
Weight Decay 3 September 11, 2019
Layers and Blocks 2 September 11, 2019
Softmax Regression 5 September 8, 2019
Automatic Differentiation 15 August 29, 2019
Momentum 2 August 27, 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