D2L-PyTorch-master
data
rainier.jpg
565KB
ptb
ptb.valid.txt
390KB
ptb.train.txt
4.87MB
ptb.test.txt
439KB
README
609B
kaggle_house
data_description.txt
13KB
sample_submission.csv
31KB
train.csv
450KB
submission.csv
21KB
test.csv
441KB
fr-en-small.txt
806B
jaychou_lyrics.txt.zip
51KB
airfoil_self_noise.dat
57KB
FashionMNIST
raw
t10k-images-idx3-ubyte.gz
4.22MB
t10k-labels-idx1-ubyte
10KB
t10k-labels-idx1-ubyte.gz
5KB
train-labels-idx1-ubyte.gz
29KB
train-images-idx3-ubyte
44.86MB
train-images-idx3-ubyte.gz
25.2MB
t10k-images-idx3-ubyte
7.48MB
train-labels-idx1-ubyte
59KB
processed
test.pt
7.55MB
training.pt
45.32MB
autumn_oak.jpg
2.72MB
resource
correlation.svg
27KB
s2s_prob1.svg
25KB
densenet.svg
11KB
rnn-bptt.svg
40KB
s2s_prob2.svg
25KB
lstm_1.svg
83KB
rnn-train.svg
52KB
nin.svg
17KB
deep-rnn.svg
31KB
inception.svg
33KB
seq2seq.svg
45KB
pooling.svg
28KB
glove.png
163KB
alexnet.png
76KB
gru_2.svg
75KB
birnn.svg
26KB
gru_3.svg
84KB
rnn.svg
49KB
cbow.svg
18KB
dropout.svg
35KB
hi-softmax.svg
22KB
conv_1x1.svg
23KB
residual-block.svg
31KB
skip-gram.svg
16KB
mlp.svg
45KB
conv_multi_in.svg
46KB
forward.svg
33KB
beam_search.svg
43KB
gru_1.svg
61KB
lstm_0.svg
65KB
lstm_2.svg
90KB
rnn_output.png
32KB
lenet.png
103KB
code
07-6-adam.ipynb
55KB
02-prerequisite.ipynb
25KB
03-2-fashion-mnist.ipynb
83KB
08-9-attention.ipynb
10KB
08-10-machine-translation.ipynb
555B
07-2-momentum.ipynb
264KB
04-1-model-construction.ipynb
16KB
07-4-rms-prop.ipynb
97KB
06-4-LSTM.ipynb
12KB
03-5-model-evaluation.ipynb
132KB
03-6-weight-decay.ipynb
166KB
05-1-cnn.ipynb
48KB
03-9-house-price-prediction.ipynb
78KB
06-2-rnn-back-propagation.ipynb
6KB
05-2-batch-normalization.ipynb
14KB
06-6-bidirectional-rnn.ipynb
2KB
08-7-seq2seq.ipynb
6KB
06-1-rnn.ipynb
38KB
03-8-back-propagation.ipynb
6KB
08-1-word2vec.ipynb
9KB
04-3-customized-layer.ipynb
7KB
06-3-GRU.ipynb
12KB
08-6-text sentiment-classification.ipynb
555B
06-5-deep-rnn.ipynb
2KB
03-4-multi-layer-perceptron.ipynb
145KB
03-7-dropout.ipynb
9KB
07-3-ada-grad.ipynb
142KB
08-3-fastText.ipynb
3KB
05-3-ResNet.ipynb
12KB
08-5-similarity-analogy.ipynb
665B
08-8-beam-search.ipynb
7KB
03-1-linear-regression.ipynb
153KB
03-3-softmax-regression.ipynb
178KB
08-4-GloVe.ipynb
9KB
04-4-model-load-store.ipynb
7KB
04-2-parameters.ipynb
9KB
07-1-opt-algorithms.ipynb
380KB
08-2-approx-train.ipynb
31KB
my_utils.py
23KB
07-5-ada-delta.ipynb
57KB
05-4-DenseNet.ipynb
9KB
.gitignore
54B
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