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Showing content from https://www.codecademy.com/learn/intro-to-py-torch-and-neural-networks below:

Intro to PyTorch and Neural Networks

Learn how to use PyTorch to build, train, and test artificial neural networks in this course.

• Time to complete

  Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary

  3 hours

• Prerequisites

  1 course We suggest you complete the following courses before you get started with Intro to PyTorch and Neural Networks:
  • Machine Learning: Introduction with Regression

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

• Intro to PyTorch and Neural Networks

  Learn how to create, train, and test artificial neural networks in PyTorch.

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Intro to PyTorch and Neural Networks course ratings and reviews

4.62 out of 5 stars

1. 5 stars

   68%

2. 4 stars

   26%

3. 3 stars

   4%

4. 2 stars

   1%

5. 1 star

   0%

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• Neural Networks are the machine learning models that power the most advanced AI applications today. PyTorch is an increasingly popular Python framework for working with neural networks.

• Learn to build neural networks and deep neural networks for tabular data, text, and images with PyTorch.

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    Includes 8 CoursesIncludes 8 Courses

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    With CertificateWith Certificate

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    Intermediate.Intermediate

    11 hours11 hours
• Learn how to use Python to build text generation models based on neural networks like RNNs and LSTMs in this PyTorch tutorial.

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    With CertificateWith Certificate

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    Intermediate.Intermediate

    3 hours3 hours
• Build AI classification models with PyTorch using binary and multi-label techniques.

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    With CertificateWith Certificate

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    Beginner Friendly.Beginner Friendly

    3 hours3 hours

• Python 4,102,574 learners enrolled
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