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

Neural Networks and Deep Learning
This course is part of Deep Learning Specialization



Instructors: Andrew Ng
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Access provided by Masterflex LLC, Part of Avantor
1,504,687 already enrolled
123,652 reviews
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Skills you'll gain
- Artificial Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Calculus
- Recurrent Neural Networks (RNNs)
- Python Programming
- Applied Machine Learning
- Linear Algebra
- Supervised Learning
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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.
What's included
19 videos5 readings1 assignment2 programming assignments
Build a neural network with one hidden layer, using forward propagation and backpropagation.
What's included
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.
What's included
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 Jul 28, 2020
Pretty well organized with really helpful examples and assignment especially. Definitely made the basis for deep learning algorithms. Looking forward to the next modules and dive deep in this domain.
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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