文件名称:pytorch-初学者教程(源码).zip
文件大小:45KB
文件格式:ZIP
更新时间:2022-09-15 08:20:57
pytorch deeplearning
pytorch-初学者教程(源码).zip(ubuntu下使用jupyter notebook打开) pytorch-初学者教程(源码).zip
【文件预览】:
pytorch-beginner-master
----.gitignore(49B)
----datasets(12B)
----00-Pytorch Basics()
--------.ipynb_checkpoints()
--------basic.ipynb(11KB)
----04-Convolutional Neural Network()
--------convolution_network.py(4KB)
--------logger.py(2KB)
----03-Neural Network()
--------neural_network.py(3KB)
----05-Recurrent Neural Network()
--------recurrent_network.py(4KB)
----01-Linear Regression()
--------Linear_Regression.py(2KB)
----README.md(115B)
----10-Deep Q learning()
--------reinforcement learning.py(6KB)
----06-Natural Language Process()
--------bag-of-word.py(3KB)
--------N-Gram.py(3KB)
--------seq-lstm.py(4KB)
----08-AutoEncoder()
--------Variational_autoencoder.py(3KB)
--------conv_autoencoder.py(2KB)
--------simple_autoencoder.py(2KB)
--------README.md(2KB)
----11-backward()
--------backward.py(2KB)
----02-Logistic Regression()
--------Logistic_Regression.py(3KB)
----09-Generative Adversarial network()
--------conv_gan.py(5KB)
--------simple_Gan.py(4KB)
----12-data io()
--------custom_data_io.py(1KB)
--------train.txt(34KB)
--------example.ipynb(4KB)
----07-Language Model()
--------data_utils.py(2KB)
--------language model.py(3KB)