Introduction to Deep Learning and Neural Networks

In this lesson, we will introduce Deep Learning and Neural Networks. We will explain what Deep Learning is, how it differs from Machine Learning, and the basic logic of neurons, layers, weights, bias, activation functions, training, loss, and optimizers. ## Lesson objective In this lesson, we will learn Introduction to Deep Learning and Neural Networks. In the previous lesson, we covered Supervised Learning, Regression, and Classification. We explained labeled data, features, target, binary classification, multi-class classification, probability output, threshold, and business interpretation of supervised learning outputs.