Introduction To Deep Learning Part 1: The Fundamentals

This blog post introduces the fundamental concepts of deep learning and explores how neural networks work. Topics discussed include the perceptron, linear classifiers, activation functions, convolutional neural networks, recurrent neural networks, and more. This blog post is influenced by the MIT Introduction to Deep Learning 6.S191 course and can be viewed as a summary.