|
Generalization
|
|
0
|
1040
|
June 13, 2020
|
|
Object-Oriented Design for Implementation
|
|
1
|
786
|
July 19, 2022
|
|
Pooling
|
|
4
|
974
|
June 28, 2022
|
|
Image Classification Dataset
|
|
9
|
1881
|
June 27, 2022
|
|
Linear Regression Implementation from Scratch
|
|
4
|
1336
|
April 8, 2022
|
|
Network in Network (NiN)
|
|
2
|
768
|
March 12, 2022
|
|
Language Models
|
|
5
|
1331
|
March 6, 2022
|
|
Padding and Stride
|
|
2
|
1031
|
February 18, 2022
|
|
Attention Cues
|
|
1
|
1130
|
February 14, 2022
|
|
Residual Networks (ResNet)
|
|
5
|
908
|
February 14, 2022
|
|
Tensorflow consistency in d2l
|
|
2
|
271
|
February 13, 2022
|
|
Dropout
|
|
4
|
1284
|
February 10, 2022
|
|
Working with Sequences
|
|
3
|
1154
|
February 9, 2022
|
|
Convolutions for Images
|
|
10
|
1493
|
January 14, 2022
|
|
Concise Implementation of Linear Regression
|
|
4
|
1049
|
January 9, 2022
|
|
Preface
|
|
2
|
1230
|
December 30, 2021
|
|
GPUs
|
|
2
|
1391
|
December 26, 2021
|
|
Deep Convolutional Neural Networks (AlexNet)
|
|
4
|
1097
|
July 16, 2021
|
|
Data Preprocessing
|
|
4
|
1233
|
November 29, 2021
|
|
Weight Decay
|
|
2
|
1078
|
November 24, 2021
|
|
Concise Implementation of Multilayer Perceptron
|
|
2
|
845
|
October 16, 2021
|
|
How to locally build the D2L package following modification
|
|
0
|
294
|
October 6, 2021
|
|
Implementation of Multilayer Perceptrons
|
|
1
|
1077
|
September 16, 2021
|
|
Bahdanau Attention
|
|
0
|
700
|
July 30, 2021
|
|
Encoder-Decoder Architecture
|
|
0
|
628
|
July 30, 2021
|
|
Machine Translation and the Dataset
|
|
0
|
484
|
July 30, 2021
|
|
Deep Recurrent Neural Networks
|
|
0
|
635
|
July 30, 2021
|
|
Long Short Term Memory (LSTM)
|
|
0
|
702
|
July 30, 2021
|
|
Gated Recurrent Units (GRU)
|
|
0
|
427
|
July 30, 2021
|
|
Text Preprocessing
|
|
0
|
310
|
July 30, 2021
|