Neural Networks and Deep Learning

The goals of this foundational Deep Learning course are to enable students to:

• Understand the major technology trends driving Deep Learning
• Be able to build, train and apply fully connected deep neural networks
• Know how to implement efficient (vectorized) neural networks
• Understand the key parameters in a neural network’s architecture

This course also teaches one how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, one is be able to apply deep learning to personal projects.

This is the first course of the Deep Learning Specialization.