Concise Implementation of Softmax Regression
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|
0
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1300
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June 17, 2020
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The Base Classification Model
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0
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1368
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February 1, 2022
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Synthetic Regression Data
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0
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1169
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January 22, 2022
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Generalization
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0
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1797
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June 13, 2020
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Object-Oriented Design for Implementation
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1
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1773
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July 19, 2022
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Pooling
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4
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1696
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June 28, 2022
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Image Classification Dataset
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9
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3097
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June 27, 2022
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Network in Network (NiN)
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2
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1232
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March 12, 2022
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Language Models
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5
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2230
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March 6, 2022
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Padding and Stride
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2
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1844
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February 18, 2022
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Attention Cues
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1
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1823
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February 14, 2022
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Residual Networks (ResNet)
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5
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1450
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February 14, 2022
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Tensorflow consistency in d2l
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2
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543
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February 13, 2022
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Dropout
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4
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2106
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February 10, 2022
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Working with Sequences
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3
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2064
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February 9, 2022
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Convolutions for Images
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10
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2349
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January 14, 2022
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Concise Implementation of Linear Regression
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4
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1658
|
January 9, 2022
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Preface
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2
|
1992
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December 30, 2021
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GPUs
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2
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2236
|
December 26, 2021
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Weight Decay
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2
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1812
|
November 24, 2021
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Concise Implementation of Multilayer Perceptron
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2
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1518
|
October 16, 2021
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How to locally build the D2L package following modification
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0
|
472
|
October 6, 2021
|
Implementation of Multilayer Perceptrons
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|
1
|
1899
|
September 16, 2021
|
Bahdanau Attention
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0
|
1445
|
July 30, 2021
|
Encoder-Decoder Architecture
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|
0
|
1289
|
July 30, 2021
|
Machine Translation and the Dataset
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0
|
897
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July 30, 2021
|
Deep Recurrent Neural Networks
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0
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1222
|
July 30, 2021
|
Long Short Term Memory (LSTM)
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|
0
|
1604
|
July 30, 2021
|
Gated Recurrent Units (GRU)
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|
0
|
853
|
July 30, 2021
|
Text Preprocessing
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|
0
|
560
|
July 30, 2021
|