Vasilev Advanced Deep Learning with Python 2020 | 1E89D160E941228E5E02041322F53F32167102C2

Vasilev Advanced Deep Learning with Python 2020

Name	Vasilev I. Advanced Deep Learning with Python...2020	DOWNLOAD Copy Link
Total Size	51.6 MB
Total Files	72
Last Seen	2024-11-17 23:39
Hash	1E89D160E941228E5E02041322F53F32167102C2

/Code Files/Chapter06/
__init__.py	0.0 KB
README.md	0.1 KB
word2vec_train.py	1.3 KB
word2vec_visualize.py	2.2 KB
word2vec_train.ipynb	10.6 KB
word2vec_visualize.ipynb	70.7 KB
war_and_peace.txt	3.3 MB
/Code Files/
README.txt	0.1 KB
SoftwareHardwareList.pdf	202.6 KB
/Code Files/Chapter10/
README.md	0.1 KB
siamese.py	4.9 KB
siamese.ipynb	10.4 KB
/Code Files/Chapter03/
README.md	0.1 KB
plot_convolution.py	1.7 KB
resnet.py	10.6 KB
resnet.ipynb	35.7 KB
/Code Files/Chapter05/
README.md	0.1 KB
wgan.py	7.5 KB
vae.py	7.8 KB
dcgan.py	7.9 KB
cgan.py	8.5 KB
dcgan.ipynb	109.9 KB
vae.ipynb	588.6 KB
cgan.ipynb	741.3 KB
/Code Files/Chapter11/
README.md	0.2 KB
/Code Files/Chapter02/
README.md	0.2 KB
transfer_learning_tf_keras.py	5.7 KB
transfer_learning_pytorch.py	6.8 KB
transfer_learning_pytorch.ipynb	40.7 KB
transfer_learning_tf_keras.ipynb	42.7 KB
/Code Files/Chapter04/
README.md	0.2 KB
mask_r-cnn.py	2.8 KB
faster_r-cnn.py	3.2 KB
yolov3.py	3.6 KB
mask_r-cnn.ipynb	1.5 MB
source_1.png	1.6 MB
yolov3.ipynb	1.6 MB
source_2.png	1.9 MB
faster_r-cnn.ipynb	2.0 MB
/Code Files/Chapter07/
README.md	0.2 KB
gru_cell.py	1.7 KB
lstm_cell.py	2.0 KB
simple_rnn_count_1s.py	3.8 KB
sentiment_analysis.py	4.6 KB
lstm_gru_count_1s.py	6.8 KB
sentiment_analysis.ipynb	9.6 KB
lstm_gru_count_1s.ipynb	21.5 KB
simple_rnn_count_1s.ipynb	70.4 KB
/Code Files/Chapter09/
README.md	0.2 KB
neural_structured_learning_cora.py	5.0 KB
neural_structured_learning_cora.ipynb	25.8 KB
/Code Files/Chapter08/
README.md	0.3 KB
transformers_textgen.py	1.4 KB
transformers_textgen.ipynb	7.5 KB
transformer.py	14.8 KB
transformer.ipynb	25.0 KB
/Code Files/Chapter11/imitation_learning/
main.py	0.8 KB
util.py	0.8 KB
nn_agent.py	2.0 KB
keyboard_agent.py	3.9 KB
train.py	7.5 KB
/Code Files/Chapter05/cyclegan/
download_dataset.sh	0.8 KB
data_loader.py	4.1 KB
cyclegan.py	10.7 KB
/.../nmt_rnn_attention/
nmt_dataset.py	4.0 KB
rnn_attention.py	11.3 KB
rnn_attention.ipynb	64.2 KB
/Code Files/Chapter09/data/
test_examples.tfr	822.3 KB
train_merged_examples.tfr	13.3 MB
/Code Files/Chapter11/imitation_learning/data/
model.pt	1.9 MB
data.gzip	12.9 MB
/
Vasilev I. Advanced Deep Learning with Python...2020.djvu	8.6 MB
Total files 72