Fundamentals of Deep Learning

This course provides a comprehensive introduction to the concepts and techniques of deep learning. It covers the fundamental mechanics of neural networks, including perceptrons, neurons, feedforward networks, and backpropagation. Students will explore advanced architectures like convolutional neural networks (CNNs) and recurrent neural networks (RNNs), with a focus on practical applications in computer vision.