d2l-master
ch4
4_5_exercises.py
6KB
4_3_tf_mlp.py
556B
4_5_1_1.png
18KB
4_2.py
1KB
4_6_dropout.py
1009B
4_1.py
3KB
i4_5_weight_decay_concise.py
1KB
4_10_sympy.py
227B
4_3_torch_concise.py
2KB
4_3_concise_mlp.py
527B
cpu_vs_gpu.txt
493B
4_5_weight_decay_full.py
3KB
4_4_polynomial_regression.py
5KB
data_download.py
2KB
4_9_shift_detector.py
4KB
gpu_4_3_torch_concise.py
3KB
4_10_kaggle_housing.py
10KB
binary_search.py
5KB
ch5
5_4_layers.py
2KB
gpu_torch.py
87B
5_2_params.py
556B
gpu_mxnet.py
2KB
ch2
derivative.py
402B
probability.py
1KB
auto_differentiation.py
5KB
symbolic.py
5KB
derivative_plot.py
2KB
ch8
war-of-the-worlds.txt
332KB
plot_embeddings.py
12KB
load_war_of_the_worlds.py
3KB
8_2_text_preprocessing.py
4KB
8_5_rnn_scratch.py
10KB
8_5_2_embeddings.py
7KB
8_1_sequence.py
3KB
rnn_sequence
ngram
8_6_3_rnn_sequence.py
5KB
RNNModel.py
12KB
8_6_3_rnn_sequence.py
1KB
seq_out
8_6_3_rnn_sequence.py
2KB
RNNModel.py
5KB
RNNModel.py
6KB
ch9
9_7_seq2seq_5.py
11KB
9_5_text_preprocessing.py
4KB
9_7_seq2seq.py
11KB
9_1_gru.py
4KB
m9_1_2_custom_train_ch8.py
5KB
__init__.py
0B
9_7_seq2seq_4.py
9KB
bsearch.py
2KB
9_8_beam.py
11KB
9_1_2_binary_search.py
4KB
ch10
heatmap.py
1KB
10_1_1.py
294B
ch6
6_6_lenet_mxnet.py
3KB
6_4_multi_channel.py
4KB
6_2.py
6KB
6_5_pooling.py
2KB
6_6_lenet_plot_FBT.py
5KB
6_6_lenet_torch.py
15KB
6_3_padding_stride.py
903B
6_1.py
1KB
ch12
12_3.py
278B
ch3
3_3.py
765B
3_6_softmax_regression.py
2KB
3_4_softmax.py
12KB
3_2.py
7KB
3_1.py
6KB
notes.org
161B
reset_gpu_after_sleep.sh
47B
README
40B
requirements.txt
41B
.gitignore
36B
ch7
7_6_resnet_exercises.py
2KB
7_6_resnet.py
3KB
7_5_batch_normalization_scratch.py
4KB
7_6_resnet50.py
3KB
7_5_batch_normalization.py
4KB
7_3.py
3KB
extract-code-segments.sh
283B
plot_test.py
63B
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