Computer Vision: Classification Techniques - Neural Networks and CNN Architecture - Lecture 12

Dive into the world of machine learning and neural networks in this comprehensive lecture from the University of Central Florida's CAP5415 course. Explore key concepts including the machine learning framework, neural network fundamentals, and CNN architecture. Gain insights into network composition, with a focus on AlexNet's network size. Discover the principles of fully convolutional networks and learn how to convert fully connected layers into convolutional ones. Delve into the importance of non-linearities in neural networks and examine various activation functions. Enhance your understanding of advanced classification techniques in this informative 32-minute session.

Intro
The machine learning framework
Neural Network
CNN architecture
Composition
AlexNet : Network Size
Fully convolutional network
Converting FC into conv
Let's introduce non-linearities
Activation Functions