Deep Learning:

This repository will be used to share my learnings and notes as I explore deep learning concepts and PyTorch basics.

• All tensor-related content and examples can be found in the pytorch_basics/pytorch_01(tensors).ipynb notebook.
• A basic linear regression model example can be found in the pytorch_basics/pytorch_02.ipynb notebook .
• A basic CNN model can be found in pytorch_basics/pytorch_03.ipynb notebook .
• A implementaion of a embedding model of 0.5m parameter in pytorch can be found in embeddings/pytorch_embedding.ipynb notebook .
• A implementaion of a embedding model in word2vec can be found in embeddings/word2vec.ipynb notebook .
• A implementation of IEEE-14 bus fault classification model can be found in fault_classifier.ipynb notebook . more abt this is available here .
• A implementation of RNN/LSTM/GRU model can be found in rnn_basics.ipynb notebook .