D2L Book


Topic Replies Activity
Dive into Deep Learning - The Book 4 February 27, 2020
Preface :) 23 April 4, 2020
Fine-Tuning BERT for Sequence-Level and Token-Level Applications 1 April 1, 2020
Transformer 5 March 31, 2020
Softmax Regression 9 March 31, 2020
Softmax Regression from Scratch 11 March 31, 2020
Natural Language Inference: Fine Tuning BERT 1 March 31, 2020
Pretraining BERT 1 March 31, 2020
The Dataset for Pretraining BERT 1 March 31, 2020
Bidirectional Encoder Representations from Transformers (BERT) 1 March 31, 2020
Multilayer Perceptron 5 March 24, 2020
Neural Collaborative Filtering for Personalized Ranking 5 March 21, 2020
Calculus 11 March 21, 2020
Probability np.random.multinomial 7 March 17, 2020
Layers and Blocks 3 March 16, 2020
Image Classification Data (Fashion-MNIST) 6 March 15, 2020
Weight Decay 4 March 15, 2020
Attention 5 March 10, 2020
Word2vec Dataset 1 July 5, 2019
Language Models 1 November 28, 2018
Machine Translation and the Dataset 1 November 28, 2018
Bidirectional Recurrent Neural Networks 3 February 26, 2020
Transposed Convolution 1 July 5, 2019
Encoder-Decoder Architecture 1 November 28, 2018
GPU Purchase Guide 1 November 28, 2018
Using Google Colab 1 February 12, 2020
Using Amazon SageMaker 1 February 12, 2020
Information Theory 1 November 15, 2019
Naive Bayes 1 November 15, 2019
Maximum Likelihood 1 November 15, 2019