Deep Learning using PyTorch

This set of Jupyter notebooks offers a basic introduction to deep learning concepts.

• Intro to Torch.ipynb: Basic conspects of PyTorch.


• Neural Networks using PyTorch.ipynb: Neural Network using PyTorch.
• BitCoin price prediction.ipynb: Predict BitCoin prices based on historical data.


• Generate a Linux kernel using RNN.ipynb: Build a generative model trained using the Linux Kernel source code.


• glove word vectors.ipynb: Introdcution to GloVe word vectors


• Machine Translation using PyTorch.ipynb: Build a French to English translation system.


• BRATS.ipynb: Brain Tumer Segmentation using VNET.

The notebooks are written and tested using Python 3.6 and PyTorch 0.5.0