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.