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 Apr 29, 2020
Amazing course, the lecturer breaks makes it very simple and quizzes, assignments were very helpful to ensure your understanding of the content. Hope for future learners you provide code model-answers
Reviewed on Dec 18, 2018
The best and simplest neural network course i have come across. Andrew Ng makes the mathematical concepts subtle and understandle. Neural network for me is no longer a black box.Thank you Andrew Ng
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.
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