Introduction
Explore how SqueezeNet achieves high image classification accuracy with significantly less memory than larger models like AlexNet. Learn to calculate CNN parameters and understand the benefits of smaller, efficient models for faster training and deployment in constrained environments.
We'll cover the following...
We'll cover the following...
In this section of the course you will be building a memory-efficient CNN known as SqueezeNet. Although small, its performance is on par with much larger models such as AlexNet, the breakthrough deep CNN that won the 2012 ImageNet Challenge. We will train the model on the ...
A. Memory Usage
While we’re normally concerned with model accuracy, ...