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....

Nov 27, 2017

Fantastic introduction to deep NNs starting from the shallow case of logistic regression and generalizing across multiple layers. The material is very well structured and Dr. Ng is an amazing teacher.

Mar 07, 2019

I understand all those thing which you have discussed in this course and I also like the way first tell story of concet and assign assignment. Now I fall in love with neural network and deep learning.

筛选依据：

创建者 Théo L

•May 31, 2019

The exercices are too straight forward for my taste.

创建者 Shanil J

•May 21, 2019

Great course.

创建者 Mike F

•May 19, 2019

Very good and helpful course, glad I did it and I'm going to continue in the series.

My one criticism would be I think the programming exercises were kinda easy... too much starter code was already there. I think I would have learned more had I just been given function signatures and let me sink or swim from there.

创建者 Hafiz H H

•May 20, 2019

There is a lot of knowledge regarding machine learning in this course, but I personally feel the course could do with a bit more challenging assignments.

Hats of to Andrew Ng. for the content and such a nice way of teaching things.

创建者 Chayan B

•Jun 05, 2019

It was a great start for me in deep learning field through this course

创建者 Justin L

•Jun 05, 2019

I found the coding in this course to be rather difficult, but I completely understand how neural networks work now.

创建者 Hrithik S

•May 23, 2019

it is a very good introductory course

创建者 William B

•Jun 06, 2019

Very good course! Takes small steps and explains everything very clearly.

创建者 Pritish M

•Jun 07, 2019

This course is very good for the basic understanding of the building blocks of neural networks and deep learning.

创建者 Ishan M

•Jun 08, 2019

Really good course work. The Matrix Calculus for the back propagation could have been explained a little better but overall an amazing course.

创建者 Amit J

•Jun 08, 2019

Basics were good, should include library equivalent functions also whenever possible.

创建者 Saurabh S

•Jun 07, 2019

Some more mathematical depth(maybe optional for those who are interested and know some calculus and linear algebra) would have been helpful. For example, it would have been great if there was a video walking through the derivation steps (including calculus) for backprop algorithm equations.

创建者 Efthimios K

•Jun 07, 2019

Very good exercises thank you.

创建者 Fen J

•Jun 07, 2019

Good course for beginners, quite easy to approach. It might require some more details and heavier math explanations.

创建者 Ernst H

•Jun 09, 2019

Andrew Ng's presentation is the best for this kind of course. The course was very well designed. The easy intro via logistic regression, followed by a 2-layer NN, and then finally a multi-layered NN is brilliant. Perhaps the course is too well designed. I would have liked to work out more on my own. I could have completed all the assignments without understanding what I was doing.

创建者 praveen v

•Jun 09, 2019

This course helped me in understanding underline concepts of neural in very intuitive way.

创建者 shivam m

•Jun 09, 2019

The comments in the practice exercises are too close to the answer, this reduces the opportunity for one to think by themselves

创建者 Shubham G

•Jun 09, 2019

Good learning experience for beginners

创建者 Johanna B

•Aug 08, 2019

This course gives an introduction (and only an introduction) to what neural networks are. I think the videos are informative if you start the course knowing nothing about neural networks. And it's good for the understanding that the assignments make you code your own neural network instead of using libraries like tensor flow.

But clearly for people with experience with machine learning (calculus, python) the course may be over simplified. For example, there were too much repetitions on how you vectorize your implementation.

创建者 Vamvakaris M

•Aug 10, 2019

I would prefer to see some aspects of the mathematical derivation of some formulas

创建者 Amr M G S

•Aug 11, 2019

Great course, but needs more coding assignments if possible.

创建者 Sun I K

•Aug 08, 2019

pretty awesome!

创建者 angel g

•Aug 11, 2019

Very well explained as usual! The math part is simplified so any one can get into it! Thank you!

创建者 Damanjot S G

•Aug 14, 2019

Another gem by Andrew Ng. Although, I felt that the last assignment ( Create a Deep Neural Network) could have been explained in a better way.

创建者 Wojciech J

•Aug 12, 2019

Theory explained very well. It's a true pleasure to learn a quite tough topic. However, I'd like to see more explanation on the programming part.