Dive into a comprehensive tutorial on Deep Learning with PyTorch, focusing on PyTorch Lightning's ability to streamline AI implementation. Explore machine learning concepts, practical examples, and key components of deep learning frameworks. Learn how PyTorch Lightning reduces boilerplate code and enables efficient training across multiple hardware platforms. Witness a practical demonstration using a plant pathology case study to solidify your understanding of implementing deep learning models with less complexity.
Introduction to Deep Learning with PyTorch
Overview
Syllabus
– Intro
– Machine learning
– Examples
– Components and flows
– Deep learning frameworks
– PyTorch
– Plant pathology
– Demo
Taught by
Data Science Dojo
