Neural Networks and Deep Learning

Instructor: Andrew Ng , Kian Katanforoosh , Younes Bensouda Mourri

Intermediate Level • 2 weeks at 10 hours a week • Flexible Schedule

Skills You'll Gain

Linear Algebra
Artificial Intelligence
Calculus
Python Programming
Supervised Learning
Deep Learning
Artificial Neural Networks
Machine Learning
Performance Tuning

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

Analyze the major trends driving the rise of deep learning, and give examples of where and how it is applied today.

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

Build a neural network with one hidden layer, using forward propagation and backpropagation.

Analyze the key computations underlying deep learning, then use them to build and train deep neural networks for computer vision tasks.