In this course covers many aspects of building deep learning models in PyTorch, including neurons and neural networks, and how PyTorch uses differential calculus to train such models and create dynamic computation graphs in deep learning.
Course Link : https://www.pluralsight.com/courses/foundations-pytorch
Notebook List
- Installation and Setup - Notebook
- PytorchTensors - Notebook
- Conversions Between PyTorch And NumPy - Notebook
- CUDA Semantics - Notebook
- Autograd Intro - Notebook
- Autograd With Variables - Notebook
- LinearModel Using Autograd - Notebook
- Install And Setup Tensorflow HiddenLayer -Notebook
- Pytorch Computation Graph - Notebook
- Tensorflow Static Computation Graph - Notebook
- Tensorflow Dynamic Computation Graphs - Notebook