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 Abu Dhabi National Oil Company
1,507,582 already enrolled
123,667 reviews
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Skills you'll gain
- Deep Learning
- Python Programming
- Linear Algebra
- Artificial Neural Networks
- Convolutional Neural Networks
- Calculus
- Applied Machine Learning
- Supervised Learning
- Recurrent Neural Networks (RNNs)
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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 Jun 29, 2020
I think that this course went a little bit too much into needy greedy details of the math behind deep neural networks, but overall I think that it is a great place to start a journey in deep learning!
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.
Reviewed on Feb 7, 2023
An amazing course and gives quite a detailed and beginner-friendly description of deep learning and neural networks. This course helped me immensely in overcoming my intimidation towards these topics.



