文件名称：framework_study:喀拉拉邦，火炬
文件大小：81.49MB
文件格式：ZIP
更新时间：2024-03-27 05:54:56
JupyterNotebook
framework_study:喀拉拉邦，火炬
【文件预览】：
framework_study-master
----torch()
--------Multi-class Classification.ipynb(46KB)
--------.ipynb_checkpoints()
--------MNIST dataset Classification.ipynb(12KB)
--------autograd.ipynb(5KB)
--------mini_batch and batch_size.ipynb(41KB)
--------custom dataset with class.ipynb(7KB)
--------MNIST_data()
--------pytorch model by class.ipynb(9KB)
--------practice.ipynb(537KB)
--------MNIST classification by CNN.ipynb(10KB)
--------Logistic Regression.ipynb(195KB)
--------logistic regression model by class.ipynb(4KB)
--------Linear regression with nn.module.ipynb(10KB)
--------multivariable Linear regression.ipynb(21KB)
--------Logistic regression by nnModule.ipynb(5KB)
----Keras_practice()
--------cats_and_dogs_small_1.h5(26.38MB)
--------Keras_Cat&Dog_practice.ipynb(430KB)
--------Keras_cat_and_dog_Trained_Netwrok_practice.ipynb(213KB)
--------cats_and_dogs_small_2.h5(26.38MB)
--------Keras_CNN_MNIST_practice.ipynb(6KB)
--------Keras_IMDB_practice.ipynb(47KB)
--------GPU_check.ipynb(1KB)
--------Keras_Boston_Housing_practice.ipynb(110KB)
--------Keras_Reuters_practice.ipynb(42KB)
--------Keras_Text_Split_Tokenizer_practice.ipynb(2KB)
----.gitattributes(66B)