Learn the foundational concepts of deep learning in this comprehensive lecture covering perceptrons, feedforward neural networks, and backpropagation algorithms. Explore how neural networks process information through multiple layers, understand the mathematics behind backpropagation, and discover how these fundamental concepts form the building blocks of modern deep learning architectures. Delve into detailed explanations and practical examples presented by Professor Ali Ghodsi in this second lecture of the Fall 2023 deep learning series.
Deep Learning: Feedforward Neural Networks and Backpropagation - Lecture 2
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Overview
Syllabus
Ali Ghodsi, Deep Learning, feedforward neural network, Backpropagation, Fall 2023, Lecture 2
Taught by
Data Science Courses
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