Deep Learning with Neural Networks and TensorFlow Introduction

Explore the fundamentals of deep learning and neural networks in this introductory video from the Machine Learning Tutorial series. Delve into the history and evolution of artificial neural networks, from their inception in the 1940s to their resurgence in recent years. Learn how these biologically-inspired models aim to mimic the human brain's functionality and compare their development to other machine learning techniques like Support Vector Machines. Discover the factors that have contributed to the recent success of deep neural networks, including new techniques, large datasets, and increased computational power. Gain insights into key topics such as neural network theory, modeling, scaling, optimization, and applications in speech and logic. Prepare to explore TensorFlow as a tool for implementing deep learning algorithms.

Introduction
Theory of Neural Networks
Neural Network Model
Neural Network to Scale
Neural Network Optimization
The Perfect Storm
Performance
Logic
Speech
Datasets
TensorFlow