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
Top Instructor
Access provided by SGCSRC
1,505,413 already enrolled
123,657 reviews
Recommended experience
Skills you'll gain
- Recurrent Neural Networks (RNNs)
- Linear Algebra
- Supervised Learning
- Artificial Neural Networks
- Deep Learning
- Calculus
- Python Programming
- Convolutional Neural Networks
- Applied Machine Learning
- Skills section collapsed. Showing 8 of 9 skills.
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

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Learner reviews
- 5 stars
89.71%
- 4 stars
9.16%
- 3 stars
0.82%
- 2 stars
0.13%
- 1 star
0.15%
Showing 3 of 123657
Reviewed on Aug 20, 2022
Although problems sets are too easy and over simplified, the course has good content, I learned a lot and I have a better intuition now on how NNs work.
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 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.



