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
Top Instructor
Access provided by Vivekananda Global University
1,477,056 already enrolled
(123,407 reviews)
Recommended experience
Skills you'll gain
Details to know

Add to your LinkedIn profile
4 assignments
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors

Offered by
Why people choose Coursera for their career




Learner reviews
123,407 reviews
- 5 stars
89.71%
- 4 stars
9.16%
- 3 stars
0.82%
- 2 stars
0.13%
- 1 star
0.15%
Showing 3 of 123407
Reviewed on Oct 25, 2019
This was a very intuitive approach to neural networks. It helped me get all the basic concepts right.I highly recommend this course to anyone who wants to learn basics and maths behind neural network
Reviewed on Oct 7, 2017
Its a great course, but I wish things like multiclass classification and regression were also included, also I think there should be more emphasis on different cost functions and their properties etc.
Reviewed on Feb 11, 2018
I would love some pointers to additional references for each video. Also, the instructor keeps saying that the math behind backprop is hard. What about an optional video with that? Otherwise, awesome!
Explore more from Data Science
DeepLearning.AI
DeepLearning.AI
Illinois Tech