Intro to PyTorch and Neural Networks
|
Learn how to use PyTorch to build, train, and test artificial neural networks in this course.
About this course
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.
Skills you’ll gain
Build neural networks in PyTorch
Define activation and loss functions
Evaluate neural network performance
Create real-world predictive models
User Reviews
Be the first to review “Intro to PyTorch and Neural Networks”
Related Products
Introduction to Programming
Gain foundational knowledge of programming concepts and languages for beginners.
Full Stack JavaScript Developer
Gain skills in full stack development using JavaScript, covering front-end and back-end technologies.
Introduction to Javascript
Gain foundational knowledge of JavaScript, focusing on syntax, variables, and functions for web development.
There are no reviews yet.