Dive into a comprehensive 50-minute crash course on PyTorch, covering essential concepts of this powerful deep learning framework. Begin with installation and overview, then explore tensor basics and autograd functionality. Progress through linear regression using autograd, and learn about models, loss functions, and optimizers. Delve into neural networks and convolutional neural networks. Access additional resources including the PyTorch website, deep learning explanations, and code examples. Compare PyTorch with TensorFlow and discover how to leverage AssemblyAI's Speech-To-Text API for your projects.
Overview
Syllabus
Intro & Overview
Installation & Overview
Tensor Basics
Autograd
Linear Regression Autograd
Model, Loss & Optimizer
Neural Network
Convolutional Neural Net
Taught by
AssemblyAI
