Neural Networks and Deep Learning

Description

This course delves into the architectures and principles behind neural networks and deep learning. Students will study the fundamentals of neural network design, including layers, activation functions, and backpropagation. The curriculum covers various types of neural networks, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), as well as their applications in image and speech recognition, natural language processing, and more.

Pre-requisites

• MAT260 - Statistics
• CSC181 - Scripting and Automation

Pre-for

• AIE250 - Data Modeling
• PRO101 - AI Projects I

Co-requisites

• No X-Requisite course found