Intro to Machine Learning with PyTorch

Brought by: Udacity

Overview

Learn foundational machine learning skills in the Intro to Machine Learning Nanodegree program and learn how to apply these skills to a variety of tasks. In the Machine Learning Engineer Nanodegree program, learn how to create a machine learning product and deploy machine learning models to a production environment, such as a web application.
Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Then, use these skills to test and deploy machine learning models in a production environment.

Syllabus

  • Supervised Learning
    • In this lesson, you will learn about supervised learning, a common class of methods for model construction.
  • Introduction to Neural Networks with PyTorch
    • In this lesson, you’ll learn the foundations of neural network design and training in PyTorch.
  • Unsupervised Learning
    • In this lesson, you will learn to implement unsupervised learning methods for different kinds of problem domains.

Taught by

Cezanne Camacho, Mat Leonard, Luis Serrano, Dan Romuald Mbanga, Jennifer Staab, Sean Carrell, Josh Bernhard , Jay Alammar and Andrew Paster

Intro to Machine Learning with PyTorch
Go to course

Intro to Machine Learning with PyTorch

Brought by: Udacity

  • Udacity
  • Paid
  • English
  • Certificate Available
  • Available at any time
  • All
  • N/A