BloomTech’s Downfall: A Long Time Coming

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

PyTorch Essential Training: Deep Learning

via LinkedIn Learning

Go to class Write review

Overview

Limited-Time Offer: Up to 75% Off Coursera Plus!
7000+ certificate courses from Google, Microsoft, IBM, and many more.
India: 75% Off World: 40% Off
Explore the basics of deep learning using PyTorch. Learn about the components of an image recognition model using the Fashion MNIST dataset.

Syllabus

Introduction
  • Welcome
  • What you should know before watching this course
1. Fashion MNIST and Neural Networks
  • Working with the Fashion MNIST dataset
  • Neural network intuition
2. Working with Classes and Tensors
  • Classes
  • Tensors
  • Training the network
3. Working with Loss, Autograd, and Optimizers
  • Loss
  • Autograd
  • Autograd with tensors
  • Optimizers
  • Using optimizers
4. Troubleshooting and CPU/GPU Usage
  • Troubleshooting
  • CPU to GPU
  • Validation
Conclusion
  • Future project ideas

Taught by

Jonathan Fernandes

Reviews

Start your review of PyTorch Essential Training: Deep Learning

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.