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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Reviewed on Oct 9, 2025
The course is excellent overall — clear explanations, great structure, and practical implementation. However, the derivation part in the backpropagation section feels a bit vague compared to the rest.
Reviewed on Jun 15, 2019
Thank you so for this wonderful course. Thank you Andrew Sir and the entire team. The forum especially is very lively and helpful. Thank you for making my learning experience exciting and brilliant.
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.



