Torch-and-DL-Tutorials

Pytorch code written for practice with Pytorch
Will constantly be adding more files with different examples and experiments run for fun
So far the current files cover core Pytorch functionality and cover some classic simple examples

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
data/MNIST/raw		data/MNIST/raw
BatchTraining.py		BatchTraining.py
ConvolutionalNeuralNetwork.py		ConvolutionalNeuralNetwork.py
DataTransformations.py		DataTransformations.py
LogisticRegression.py		LogisticRegression.py
README.md		README.md
SimpleNumberClassification.py		SimpleNumberClassification.py
TensorBoardExampleWithMNIST.py		TensorBoardExampleWithMNIST.py
Transfer_Learning.py		Transfer_Learning.py
activation_functions.py		activation_functions.py
auto_optim_with_GD.py		auto_optim_with_GD.py
back_propigation.txt		back_propigation.txt
basic_multi-class_classification_nn.py		basic_multi-class_classification_nn.py
gradients.txt		gradients.txt
loss_and_optim_packages.py		loss_and_optim_packages.py
optimization_with_GD.txt		optimization_with_GD.txt
pipeline.py		pipeline.py
softmax_and_cross_entrapy_loss.py		softmax_and_cross_entrapy_loss.py
tensor_operations.txt		tensor_operations.txt
transformer_from_skratch.py		transformer_from_skratch.py

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