Neural Networks and Deep Learning
Andrew Ng
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.
More resources on AI Fundamentals
Andrej Karpathy's Blog
Tutorials like 'Zero to Hero' neural nets
Neural Network Zoo
Overview of neural net architectures
Distill.pub
Interactive visualizations for ML concepts
StatQuest: Neural Networks Part 1
Clear explanation of backpropagation
Essence of Linear Algebra
3Blue1Brown prerequisite math
But what is a Neural Network?
3Blue1Brown overview
