文件名称：Pytorch_DeepLearning_Tutorials
文件大小：2.13MB
文件格式：ZIP
更新时间：2024-05-11 05:45:11
JupyterNotebook
Pytorch深度学习和AI教程 PyTorch：深度学习和人工智能
【文件预览】：
Pytorch_DeepLearning_Tutorials-master
----data()
--------spam.csv(492KB)
--------moore.csv(6KB)
--------sbux.csv(29KB)
--------moore.txt(5KB)
----Sec5-Convolution_ANN()
--------1-CNN_Fashion_MNIST.ipynb(73KB)
--------3-Data_Augmentatioin.ipynb(258KB)
--------2-CNN_CIFAR.ipynb(120KB)
----README.md(201B)
----Sec3-MachineLearning()
--------4-BCE_Loss_with_Logits.ipynb(33KB)
--------1-LinearRegression.ipynb(35KB)
--------3-Linear_Classification.ipynb(31KB)
--------2-Regression_MooresLaw.ipynb(92KB)
----Sec6-RNN_&_TimeSeries()
--------7-RNN_Image_Classifier.ipynb(94KB)
--------3-Understaning_RNN_Shapes.ipynb(10KB)
--------1-RNN_Timeseries.ipynb(189KB)
--------5-Nonlinear_Sequence_GRU_RNN.ipynb(367KB)
--------4-Nonlinear_Sequence_Linear.ipynb(311KB)
--------2-RNN_code.ipynb(142KB)
--------6-Nonlinear_Sequence_LSTM.ipynb(348KB)
--------8-Stock_Returns.ipynb(409KB)
----Sec7-NLP_ANN()
--------1-Text_Preprocessing.ipynb(15KB)
--------2-Text_Classification_RNN.ipynb(49KB)
----Sec4-Feedforward-ANN()
--------2-ANN_Regression.ipynb(272KB)
--------ann_regression_3dplot.py(3KB)
--------1-ANN_Image_Classification.ipynb(62KB)
--------ann_regression.py(3KB)