Neural Networks and Deep Learning

In this course, you will learn the foundations of deep learning. When you finish this class, you will:

• 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.

Week 1: Introduction to deep learning

Be able to explain the major trends driving the rise of deep learning, and understand where and how it is applied today.

• Quiz 1: Introduction to deep learning

Week 2: Neural Networks Basics

Learn to set up a machine learning problem with a neural network mindset. Learn to use vectorization to speed up your models.

• Quiz 2: Neural Network Basics
• Programming Assignment: Python Basics With Numpy
• Programming Assignment: Logistic Regression with a Neural Network mindset

Week 3: Shallow neural networks

Learn to build a neural network with one hidden layer, using forward propagation and backpropagation.

• Quiz 3: Shallow Neural Networks
• Programming Assignment: Planar Data Classification with Onehidden Layer

Week 4: Deep Neural Networks

Understand the key computations underlying deep learning, use them to build and train deep neural networks, and apply it to computer vision.

• Quiz 4: Key concepts on Deep Neural Networks
• Programming Assignment: Building your Deep Neural Network Step by Step
• Programming Assignment: Deep Neural Network Application

Course Certificate