PyTorch Essential Training: Deep Learning

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Free Online Course: PyTorch Essential Training: Deep Learning provided by LinkedIn Learning is a comprehensive online course, which lasts for Less than 1 hour of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. PyTorch Essential Training: Deep Learning is taught by Jonathan Fernandes.

Overview
  • 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