In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.
Neural Networks and Deep Learning
This course is part of Deep Learning Specialization
Instructors: Andrew Ng
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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.
What's included
6 videos3 readings1 assignment1 app item
Set up a machine learning problem with a neural network mindset and use vectorization to speed up your models.
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19 videos5 readings1 assignment2 programming assignments
Build a neural network with one hidden layer, using forward propagation and backpropagation.
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12 videos1 reading1 assignment1 programming assignment
Analyze the key computations underlying deep learning, then use them to build and train deep neural networks for computer vision tasks.
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8 videos7 readings1 assignment2 programming assignments
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Recommended if you're interested in Machine Learning
Johns Hopkins University
University of Illinois Urbana-Champaign
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Reviewed on Jul 7, 2021
Very informative course by Andrew Ng and team.Teaches everything from the basics and helps you understand difficult topics (as i thought before taking this course) such as Deep Neural Networks easily.
Reviewed on Aug 29, 2018
Nothing can get better than this course from Professor Andrew Ng. A must for every Data science enthusiast. Gets you up to speed right from the fundamentals. Thanks a lot for Prof Andrew and his team.
Reviewed on Jan 17, 2020
Very structured approach to developing a neural network which I believe I can use as foundation for any project regardless its complexity. Thanks professor Andrew Ng and the team for their dedication.
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