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PyTorch Tutorial from my YouTube channel.

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
data/wine		data/wine
slides		slides
01_Installation		01_Installation
02_tensor_basics.py		02_tensor_basics.py
03_autograd.py		03_autograd.py
04_backpropagation.py		04_backpropagation.py
05_1_gradientdescent_manually.py		05_1_gradientdescent_manually.py
05_2_gradientdescent_auto.py		05_2_gradientdescent_auto.py
06_1_loss_and_optimizer.py		06_1_loss_and_optimizer.py
06_2_model_loss_and_ optimizer.py		06_2_model_loss_and_ optimizer.py
07_linear_regression.py		07_linear_regression.py
08_logistic_regression.py		08_logistic_regression.py
09_dataloader.py		09_dataloader.py
10_transformers.py		10_transformers.py
11_softmax_and_crossentropy.py		11_softmax_and_crossentropy.py
12_activation_functions.py		12_activation_functions.py
12_plot_activations.py		12_plot_activations.py
13_feedforward.py		13_feedforward.py
14_cnn.py		14_cnn.py
15_transfer_learning.py		15_transfer_learning.py
16_tensorboard.py		16_tensorboard.py
17_save_load.py		17_save_load.py
LICENSE		LICENSE
README.md		README.md

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