Get full access to Modern Computer Vision with PyTorch and 60K+ other titles, with a free 10-day trial of O'Reilly.

There are also live events, courses curated by job role, and more.

Appendix

Chapter 1 - Artificial Neural Network Fundamentals

What are the various layers in a neural network? Input, Hidden, and Output Layers
What is the output of a feed-forward propagation? Predictions that help in calculating loss value
How is the loss function of a continuous dependent variable different from that of a binary dependent variable and also of a categorical dependent variable? MSE is the generally used loss function for a continuous dependent variable and binary cross-entropy for a binary dependent variable. Categorical cross-entropy is used for categorical dependent variables.
What is stochastic gradient descent? It is a process of reducing loss, by adjusting weights in the direction of decreasing gradient
What does a backpropagation ...

Get Modern Computer Vision with PyTorch now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial

Don’t leave empty-handed

Get Mark Richards’s Software Architecture Patterns ebook to better understand how to design components—and how they should interact.

It’s yours, free.

Get it now

Check it out now on O’Reilly

Dive in for free with a 10-day trial of the O’Reilly learning platform—then explore all the other resources our members count on to build skills and solve problems every day.

Start your free trial Become a member now