Neural Networks and Deep Learning

Intermediate Level
2 weeks at 10 hours a week
Flexible Schedule

Andrew Ng , Kian Katanforoosh , Younes Bensouda Mourri

Skills You’ll Gain

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

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Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

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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.