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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123,663 reviews
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Skills you'll gain
- Applied Machine Learning
- Convolutional Neural Networks
- Recurrent Neural Networks (RNNs)
- Artificial Neural Networks
- Linear Algebra
- Python Programming
- Deep Learning
- Supervised Learning
- Calculus
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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 May 13, 2020
One of the best courses I have taken so far. The instructor has been very clear and precise throughout the course. The homework section is also designed in such a way that it helps the student learn .
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.



