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Neural Networks and Deep Learning

deeplearning.ai and Stanford University via Coursera

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  • Provider Coursera
  • $ Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Start Date
  • Duration 4 weeks long

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If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago.

In this course, you will learn the foundations of deep learning. When you finish this class, you will:
- Understand the major technology trends driving Deep Learning
- Be able to build, train and apply fully connected deep neural networks
- Know how to implement efficient (vectorized) neural networks
- Understand the key parameters in a neural network's architecture

This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions.

This is the first course of the Deep Learning Specialization.

Taught by

Andrew Ng

Highest Rated Courses

Reviews for Coursera's Neural Networks and Deep Learning
4.8 Based on 12 reviews

  • 5 stars 83%
  • 4 stars 17%
  • 3 star 0%
  • 2 star 0%
  • 1 star 0%

Did you take this course? Share your experience with other students.

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  • 1
Gregory S
5.0 8 months ago
by Gregory completed this course and found the course difficulty to be easy.
Neural Networks and Deep Learning is the first course in a new deep learning specialization offered by Coursera taught by Coursera founder Andrew Ng. The 4-week course covers the basics of neural networks and how to implement them in code using Python and numpy. The course page states that it only requires basic Python programming knowledge, although any experience you have with machine learning, linear algebra and calculus will be helpful with gaining a deeper understanding of the material. You can access the quizzes and programming assignments without paying for the full course, but if you w…
Was this review helpful to you? Yes
Cristi C
5.0 5 months ago
by Cristi completed this course.
I particularly enjoyed Andrew Ng's first course of the Deep Learning specialization because of its interactivity. Like any other programming course should be, we had to complete programming assignments as Jupyter Notebooks in the browser. We did not have to install anything on the computer so there were virtually no hardware or software requirements.

The assignments blend well with the lectures and there is a lot of code that's already included so you would have to work your way out with the rest.

There were some issues with grading the assignments, but after a few submissions, the grader graded them correctly.

This course is complex, as it requires some solid knowledge of linear algebra, calculus, and Python programming. So, I would say it's not for beginners.
Was this review helpful to you? Yes
Imaculate M
4.0 8 months ago
by Imaculate completed this course.
It is designed for beginners in deep learning who have a background in basic python and linear algebra. Well planned, lets you develop intuitions about neural networks , also has optional video series on heroes of deep learning which is quite cool. People with some knowledge on NN might find it slow, but a good refresher. The Deep Learning specialization, which it is part of, is quite comprehensive too!
Was this review helpful to you? Yes
Adail R
5.0 7 months ago
Adail completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
Having completed his classic Machine Learning course a few months earlier, I had all the concepts and intuitions still fresh in my mind, so I could go quickly through the lectures, quizzes and assignments. I really enjoyed it and highly recommend it for anyone interested on ML, Deep Learning and AI! I'm doing the entire specialization and couldn't be more satisfied!
Was this review helpful to you? Yes
Vijayabhaskar V
5.0 8 months ago
Vijayabhaskar completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
The Best Course on the internet to study about Artificial Neural Networks,you just need to know basic high school calculus and linear algebra to finish this course.Well structured and the programming assignments are so helpful!
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Anonymous
5.0 5 months ago
Anonymous audited this course.
Its great ! It teaches you to build a simple neural network from scratch, the assigbments were very illustrative and it was a very good thing that the assignments are solved on the cloud using jupyter

Notebooks without the need to download the data
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David D
5.0 8 months ago
by David completed this course.
Great course. Builds the concepts step by step.

End of the course have a good comfort of forward prop , back prop and build a shallow neural network and deep neural network using python numpy. Highly recommend for anyone pursuing deep learning
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Anonymous
5.0 2 months ago
Anonymous completed this course.
Great course! I really liked how systematically Andrew Ng goes through this broad field. You probably won't learn everything there is in the real of Deep Learning just by taking this course (I think that would be impossible) but you will get a rock solid (trusted) foundation for the important parts to expand that knowledge and keep up with latest progress on your own afterwards.
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Anonymous
5.0 4 months ago
Anonymous completed this course.
Great introduction to the nuts and bolts of neural networks. Not math intensive but enough to give you more than an intuition of what’s happening under the hood. Notebooks with boilerplate code allow for targeted and efficient learning.
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Chaitanya K
5.0 2 months ago
by Chaitanya completed this course, spending 4 hours a week on it and found the course difficulty to be easy.
It's a great course to understand basics of deep learning with a detailed walkthrough of gradient descent algorithm, forward propagation, backward propagation, cost and activation functions with logistic regression as a starting point.
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Daniel R
4.0 2 months ago
by Daniel completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
The course was good, Andrew NG is undoubtedly a great mind with too much knowledge, however, all the lessons were written on a white board. Is not that bad, but is not the easiest way to learn nevertheless.
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Anonymous
5.0 4 months ago
Anonymous completed this course.
Totally enjoyed this class! I consider Andrew Ng one of the best instructors in this field. The class will actually have you write code weekly and your own deep neural network. Highly recommend it.
Was this review helpful to you? Yes
  • 1

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