|
Concise Implementation of Softmax Regression
|
|
0
|
1543
|
June 17, 2020
|
|
The Base Classification Model
|
|
0
|
1683
|
February 1, 2022
|
|
Synthetic Regression Data
|
|
0
|
1496
|
January 22, 2022
|
|
Generalization
|
|
0
|
2183
|
June 13, 2020
|
|
Object-Oriented Design for Implementation
|
|
1
|
2153
|
July 19, 2022
|
|
Pooling
|
|
4
|
1936
|
June 28, 2022
|
|
Image Classification Dataset
|
|
9
|
3461
|
June 27, 2022
|
|
Network in Network (NiN)
|
|
2
|
1479
|
March 12, 2022
|
|
Language Models
|
|
5
|
2596
|
March 6, 2022
|
|
Padding and Stride
|
|
2
|
2101
|
February 18, 2022
|
|
Attention Cues
|
|
1
|
2152
|
February 14, 2022
|
|
Residual Networks (ResNet)
|
|
5
|
1709
|
February 14, 2022
|
|
Tensorflow consistency in d2l
|
|
2
|
684
|
February 13, 2022
|
|
Dropout
|
|
4
|
2495
|
February 10, 2022
|
|
Working with Sequences
|
|
3
|
2462
|
February 9, 2022
|
|
Convolutions for Images
|
|
10
|
2724
|
January 14, 2022
|
|
Concise Implementation of Linear Regression
|
|
4
|
2086
|
January 9, 2022
|
|
Preface
|
|
2
|
2360
|
December 30, 2021
|
|
GPUs
|
|
2
|
2623
|
December 26, 2021
|
|
Weight Decay
|
|
2
|
2155
|
November 24, 2021
|
|
Concise Implementation of Multilayer Perceptron
|
|
2
|
1807
|
October 16, 2021
|
|
How to locally build the D2L package following modification
|
|
0
|
590
|
October 6, 2021
|
|
Implementation of Multilayer Perceptrons
|
|
1
|
2248
|
September 16, 2021
|
|
Bahdanau Attention
|
|
0
|
1735
|
July 30, 2021
|
|
Encoder-Decoder Architecture
|
|
0
|
1599
|
July 30, 2021
|
|
Machine Translation and the Dataset
|
|
0
|
1094
|
July 30, 2021
|
|
Deep Recurrent Neural Networks
|
|
0
|
1526
|
July 30, 2021
|
|
Long Short Term Memory (LSTM)
|
|
0
|
1945
|
July 30, 2021
|
|
Gated Recurrent Units (GRU)
|
|
0
|
1092
|
July 30, 2021
|
|
Text Preprocessing
|
|
0
|
690
|
July 30, 2021
|