A Lightning-Fast Introduction to Deep Learning and TensorFlow 2.0

From navigating to a new place to picking out new music, algorithms have laid the foundation for large parts of modern life. Similarly, artificial intelligence is booming because it automates and backs so many products and applications. Recently, I addressed some analytical applications for TensorFlow. In this article, I'm going to lay out a higher-level view of Google's TensorFlow deep learning framework, with the ultimate goal of helping you to understand and build deep learning algorithms from scratch. Over the past couple of decades, deep learning has evolved rapidly, leading to massive disruption in a range of industries and organizations. The term was coined in 1943 when Warren McCulloch and Walter Pitts created a computer model based on neural networks of a human brain, creating the first artificial neural networks (or ANNs). Backpropagation is a popular algorithm that has had a huge impact in the field of deep learning.