Deep Learning: Fundamentals

This lecture by the instructor covers the fundamentals of deep learning, a special type of machine learning based on artificial neurons. Starting with the concept of artificial neurons and their functioning, the lecture progresses to discuss the evolution of deep learning networks over the years, from the Backgammon Network in 1989 to the Transformer Network in 2020. The lecture also delves into how neural networks learn through stochastic gradient descent and the differences between machine learning, artificial intelligence, and deep learning.