PyTorch SOTA Template Formation Guide

PyTorch Part 1 Pytorch Basics
- Tensors
- Rank Axis & Shape
- Tensor Creations methods
- Transformation
- Memory Sharing vs Caching
- Reshaping
- Flattening Operation
- Element Wise Operation
- Comparison Operation
- Reduction Operation
PyTorch Part 2 CNN
- ETL
- Model Building
- Forward Pass
- Prediction
- Batch Processing
- Training Process (Backward Pass Included)
Torch Part 3 Stack vs Concat
- Concatenating vs Stacking Tensor
  1. Pytorch
  2. TensorFLow
  3. Numpy
PyTorch Part 4 TensorBoard
- Adding Tensorboard to Part 2 of Tutorial
- Hyperparameter Tuning and Experimenting using Tensorboard
PyTorch Part 5 Code Refactoring Training
- Hyperparameter Tuning & Experimentation auto mode¶
- Making Run Manager Class to declutter training loop¶

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
.ipynb_checkpoints		.ipynb_checkpoints
data/FashionMINIST/FashionMNIST		data/FashionMINIST/FashionMNIST
images		images
research papers		research papers
runs		runs
PyTorch Part 1 Pytorch Basics.ipynb		PyTorch Part 1 Pytorch Basics.ipynb
PyTorch Part 2 CNN.ipynb		PyTorch Part 2 CNN.ipynb
PyTorch Part 3 Stack vs Concat.ipynb		PyTorch Part 3 Stack vs Concat.ipynb
PyTorch Part 4 TensorBoard.ipynb		PyTorch Part 4 TensorBoard.ipynb
PyTorch Part 5 Code Refactoring Training.ipynb		PyTorch Part 5 Code Refactoring Training.ipynb
README.md		README.md
results.csv		results.csv
results.json		results.json

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