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....

Jun 30, 2018

Very good course to start Deep learning. But you need to have the basic idea first. I would suggest to do the Stanford Andrew Ng Machine Learning course first and then take this specialization courses

Jan 18, 2020

Very structured approach to developing a neural network which I believe I can use as foundation for any project regardless its complexity. Thanks professor Andrew Ng and the team for their dedication.

篩選依據：

創建者 Rehan S

•Aug 24, 2019

Beginner friendly course. This is Andrew's Ng first but very important course and that is prerequisite of next courses of same specialization. Assignments are well designed by instructor very helpful to understand the

theoretical material. Assignments designed according to real world problems like image classification. Well effort by instructor that makes easy all the difficult topics for us and thanks to coursera team that providing us such a great platform where we learn something new at any time.

創建者 Kiran W

•Jul 30, 2019

Professor Andrew Ng's teaching style is simply amazing! I was able to absorb the material fairly quickly and reinforce my learning with very well structured exercises. I, now, have the confidence that Deep Learning is no rocket science. It is pure mathematics and art at play! If your algebra fundamentals are in place and you are creative, there is no better path to AI than Deep Learning. Believe me, when you start "getting" DL concepts, it quickly grows on you and you are addicted to its philosophy!

創建者 Melissa C

•Jul 09, 2019

So happy I completed the first course in the series of Deep Learning. I got a great foundation for how neural networks work, with good instruction, good illustrations, and plenty of resources. The lab notebooks are particularly well-written, with thoughtful instruction and step-by-step application of what we learn each week. Outputs have "expected" outputs shown below, so you know if you're on the right track or not. Overall very happy with this course. It's a good bit of work, but so worth it.

創建者 Robert G

•Jun 12, 2019

Terrific intro to neural networks! The instruction was very clear on the steps that made up NN/DL algorithms and very easy to follow. I really liked how the programming examples were explicit in what made up the algorithms, and then there were test cases for each section of the code. This made it easy to step-debug through the code, rather than waiting until the code is complete and running into a bug and having to try and trace back through the entire notebook. Thanks for putting this together.

創建者 Glenn B

•May 31, 2018

Great topic, well organized, and very understandable. Tests and assignments are structured very well and are completely doable.

I get the dynamic aspect of writing the lecture notes in the videos, however the lecture notes should be "cleaned up" in the downloadable files (i.e., typos corrected and typed up). Additionally, the notes written in the video could be written and organized more clearly (e.g., uniform directional flow across the page/screen rather than randomly fit wherever on the page.

創建者 Subhadip M

•Oct 25, 2019

Extremely helpful course. I got a good and depth knowledge about the Neural Network, Activation Function, Vector and Matrices, Forward and Backward propagation, Parameters and Notation. The main thing I love with this course is the implementation of theory and examples practically on the code. While you are going through the course, I will suggest you to take notes and revise it again and again. Otherwise, you will definitely confuse in many portions of the course. Thanks to Professor Andrew Ng.

創建者 Herment G

•May 06, 2018

This course is amazing. Andrew is an amazing teacher, you can see that he loves explaining this topic and understands it very well so he know how to put things simply. You may feel lost from time to time but the things that you may hardly comprehend are consistently reminded throughout the course. This gave me a great insight into the field of deep learning and I'm looking forward to learn more about it. I highly recommand this course to anyone who has basic coding knowledge and interest in AI.

創建者 Michal S

•May 18, 2019

This was a very enjoyable course! It was very practically oriented, so everyone with some basic knowledge about machine learning, programming and neural networks could complete the course without too much of math background. I know this may seem as a disadvantage as well, but I think having good chance to do cool projects (because the programming assignments are cool) can motivate to further study of presented papers and textbooks well and eventually maybe use the concepts in research or work.

創建者 Juan R C C

•Sep 14, 2017

After complete the Machine Learning Course, this one has been more easy to complete than it and, thanks to Python programming, easy to align with other related courses where there are programming assignments.

In addition, it's a pleasure to follow trainings delivered by Andre Ng. His teaching quality is outstanding.

The only "but" is that I missed to use DNN with multiple classification and not only binary classification. Probably it will be covered in next courses into the specialization.

創建者 Maciej B

•Aug 19, 2017

Course is nicely constructed. If you have 2-3 days without other commitments (I didn't) you can finish it very fast including all the - non-required - computations on paper. Coding excersises are well designed although not very demanding. Additional, more complex (bonus) excercises would for a nice add-on to the main course.

The only problem I have with the course is that I must wait 4 weeks for the next step, despite finishing the first stage during the first week. I do not understand why.

創建者 Fernando D G

•Mar 04, 2018

I can not express the amazing professor Andrew is. He is capable to explain complex concepts in a way anyone could understand.

I would also like to say that the assignments of this course are amazing. They have taken a lot of time to create the Python notebooks and to match every single line of code with what was showed in the lectures. It's almost impossible not to get confident with Neural Networks after you have completed all of them.

My sincere congratulations to all the teaching staff.

創建者 Joyce G

•Jan 21, 2018

Absolutely wonderful! I have strong math and CS background. I can see this course can be learned by many people from many background.

VERY helpful. I cannot say enough good things about it! Thank you so much!!

The only one thing is that it will be great if the homework assignment deadline can be even more flexible. I work full time and I have a big family. I have been working holidays and weekends to get the course done. It will be nice if the deadlines are more flexible for people like us.

創建者 Nilesh I

•Oct 29, 2017

Awesome course. The teaching style of writing down each small step made it easier for me to understand complicated concepts. Previously I had taken the ML course. Here, the course starts with a simple logistic regression as neural network then 2 layer NN and multiple layer NN. The assignment projects have clear explanation to guide through the assignment projects. The forums are a great help to find cause for errors etc. Thank you Prof. Ng. Looking forward to other courses in this series.

創建者 Pooya D

•Mar 24, 2018

A great introduction to machine learning using neural networks. This course provides a general overview of the mechanism of prediction and optimization of the prediction (gradient decent) using a neural network. The hands-on approach and the minimal lecture videos makes the course interesting.

(I think there might be a way to revolutionize the concept of Discussion Forums to make the learning more interactive with fellow learners but I don't know how so I don't blame the course creators!)

創建者 Ashwini J

•Dec 19, 2019

Neural Networks and Deep Learning course has been a great learning experience, I had high level idea about how a Neural Network works, having used on structured data before through packages and libraries. But after completing this course and building a neural network from scratch using only numpy library, I now have a good understanding and intuition about why a neural network works. Kudos to Andrew Ng and his team for putting together the content and assignments. This course is helpful.

創建者 Michael F

•Aug 29, 2017

Another excellent course by Andrew Ng. His instruction style is detailed, without getting into the weeds. The lectures provide enough background so that people with (like me) and without detailed linear algebra backgrounds can understand how these algorithms work. There is also plenty of resources available for helping with programming and other details of implementing these strategies. Highly recommended if you want to learn more about neural networks and how to actually implement them.

創建者 Mihai L

•Jan 07, 2018

This is another excellent course from Andrew Ng.

After doing his Coursera Octave based initial Machine Learning course I thought I might get up to date to Python /Numpy techniques.

As usual it was excellent. Assignments were not too difficult and you can resubmit multiple times (both quizzes and programming assignments).

Being able to use iPython Notebooks is a great positive point. Installing Python3 + Tensorflow with GPU support took me a long while (just before starting the course).

創建者 Bilal K

•Feb 25, 2018

Andrew Ng is an amazing instructor! This is the best explanation of deep learning and neural networks that I have come across. I love how he explains everything from the basics and still covers so much ground. I was intimidated by backward propagation before taking this course. But after going through this course, it seems it is just a fancy name for the chain rule I learned in high school calculus.

Andrew's dedication to helping others learn shows in every lecture. He is a rock star!

創建者 Ram

•Feb 05, 2018

Very complex concepts have been taught without assuming much mathematical background. Andrew is an extraordinary teacher. I aspire to become as good a teacher as him one day. Also the programming assignments are well designed. The Jupyter notebooks are extremely detailed and are very easy to follow. The interviews with the creators and developers of the field at the end of each week's material are invaluable. Over all, this course and the others in this specialization are outstanding.

創建者 Lachlan M

•Jan 22, 2020

A superb mathematical introduction to deep learning. Professor Ng and his team ensure that students gain a solid foundation in, and intuition for, the subject.

In my opinion, students will find they are able to focus on the deep-learning algorithms a little more clearly if they are already comfortable with linear algebra and basic Python. Therefore I would recommend taking a course in Python and having a look at basic linear algebra in preparation for this course or in parallel to it.

創建者 Luis H G P

•Apr 19, 2018

Definitely the best introductory course I saw about Deep Learning! :) Andrew is a great 👨🏫 lecturer, always emphasising on the theoretical and practical concepts, developing first the right intuition about the topics to further tackle them with the formal approach and exercises in Python. Great methodology as well :) from the simpler to the more complex: it is almost impossible to be lost in this course!:) Thanks a lot Andrew and all the super team of this specialization!!

創建者 Wagner F R

•Dec 27, 2019

Very good introduction to machine learning. The basic mathematical foundation is taught and we actually implement a NN from scratch with Numpy. In other courses I made backprop was just rushed, here we have the opportunity of see what is going on and then proceed to abstract it away and use the automatic mechanisms different frameworks offer. Thanks very much Andrew and all the assistant professor for the very 'deep' and well explained coverage of the NN during this specialization.

創建者 Mathew S

•Apr 06, 2019

This class is a great overview of NNs. I have experience programming NNs using TensorFlow, which I learned how to do by following tutorials and using others' open source code. For me, completing this course really fleshed out my understanding and intuition of the internal workings of a neural network. Solutions for the programming assignments are mostly copy-paste-style, but one must think about the equations to do it correctly. Thank you Andrew, and the others behind this course.

創建者 Тесленко С И

•Mar 23, 2019

The course is very, very entertaining. I enjoyed it. I liked your style of presentation of the material and its selection. To be more concrete, that's what I liked most:

+ Practical Assignments

+ Your explanation of hard topics in easy way

+ Deep Learning Legends interviews

Andrew Ng, thank you for the interesting, informative course! I can't stop watching your exciting lectures and solving interesting tasks and quizes. And now I am going to continue my Deep Learning Specialization!

創建者 Baurjan S

•Jan 17, 2018

Very well paced and great in terms of digestibility of the course material. The first course, given you have no issues with the Python syntactics, will help lay the foundation to the principles of deep learning. The bonus of every week is an interview with the stars of deep learning and neural networks. I am lucky I took the course several months after it's been commenced. So there are no errors and it's been a very smooth experience. Looking forward to starting the second course.