Overview
Ready to start your journey into Neural Networks and PyTorch? In this course, you will learn how to create, train, and test artificial neural networks in PyTorch, one of the most popular deep learning frameworks in Python. You will learn about common loss functions and optimizer algorithms while building working neural networks to make predictions about real-world datasets.
- Build neural networks in PyTorch
- Define activation and loss functions
- Evaluate neural network performance
- Create real-world predictive models
University: Codecademy
Provider: Codecademy
Categories: PyTorch Courses
Syllabus
Taught by
Tags
Codecademy
Codecademy
42 Courses
Codecademy
Free Trial Available
English
1 hour
On-Demand
Beginner