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Codecademy

Intro to PyTorch and Neural Networks

via Codecademy

Overview

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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.

Syllabus

  • Intro to PyTorch and Neural Networks: Learn how to create, train, and test artificial neural networks in PyTorch.
    • Lesson: Intro to PyTorch and Neural Networks
    • Project: Predicting Electric Vehicle Charging Loads
    • Quiz: Intro to PyTorch and Neural Networks
    • Informational: Next Steps

Taught by

Ada Morse

Reviews

4.6 rating at Codecademy based on 195 ratings

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