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.
This course helps me to understand the basic concept of Deep Learning. However I think this course should include at least 1 week (or 2-3 videos) about math so learners can have a better understanding
创建者 Ye W•
This course serves as a great intro. I saw many comments complaining that the course is a bit too easy. As a stats PhD student, I admit that the technical details in this initial course is trivial, but I feel that I learned a lot of useful things, e.g., vectorization, intuition, etc. In fact, the entire concept of deep neural net is very straightforward, i.e., nothing but a generalized linear model (GLM) from a statistical prospective. I feel what is important is the intuition behind it and how to implement it efficiently in practice. This course covers both aspects in great details, love it!
创建者 GAUTHAM M N•
It is a fantastic course for any one craving about the thrills of programming or math. Anyone without prior knowledge of programming can learn to like this course a lot. Knowing a bit basic math about matrices and calculus kinda makes it more fun, but no compulsorily needed. I am enrolled to all 5 courses in this specialization and will complete all of THEM! Andrew Ng is simply too good :)
P.s: It will get tricky a bit, because the 'what' of deep learning is tough to contemplate. Dont worry too much and just keep learning the 'how'. As time progresses you'll be able to understand it finally.
创建者 Qiongxue S•
This course helps me to understand what is neural network and how would we use the NN and deep learning method to solve the practical problem. This is real science. For the content I have to say that this is the best AI course I have ever had. The related theory and mathematic equations are all clearly explained. Besides I learned a lot from every assignment. The point to build NN is make sure we understand the theory first then the programming part will not be hard. But before learning the course I think we need to have basic knowledge about python. Excellent course! Thank you so much.
创建者 Chris R•
I have already completed Andrew Ng's Stanfor Machine Learning course on Coursera, but the neural network coverage was limited. This course helped me understand the underlying principles of deep learning more completely and I'll be taking all five to earn the specialization. The pace of this course seemed perfect for me having some knowledge of Python, linear algebra, and calculus. This course also helped to refresh older memories and learn new things about Python libraries like numpy. This is an excellent course and has left me very excited about possible applications for deep learning.
创建者 Balwinder C K•
Simply Awesome. I took another course from Andrew Ng (Machine Learning) 4-5 months back but didn't get much idea what's going on. Then i planned to take this deep learning course but before that i did quite to grasp the concepts. I must have watched the other course's video 50 times and must have done 50 small ML examples but that was beginning. This course was breeze as I knew this time the terminology, the concepts and specially what i wanted to learn from the course. It's always good to know underlying concepts as it give you power to debug the not so subtle scenarios.
Thank you Andrew
创建者 Khizr M K•
The course is very good and I found it really easy because I was familiar with python. There are two things which I want to suggest in your courses .
The first thing is you should also teach how to use python libraries for deep learning. This will teach students how to use library in different types of problems.
The second thing which I found was the course was bit easy and it should be made little bit difficult by removing certain hints such as formulae. This will force students to make notes seriously while listening your video lectures and implement formulae in their code on their own.
创建者 Vu L•
I took the ML matlab version that Prof Ng created, but could not make it because I could not understand the homework problems and the content of the course. Thus, I got out after the fifth week because I could not understand how to do the assignment. However, luckily, right after I got out, he opened this course. It was a relief that I was able to understand everything I did not understand from the previous one, and I was able to do the homework. Therefore, I would suggest this course to everyone who wants to learn AI. Thank you Prof Ng and your dedicated team for this tremendous effort!
创建者 Karl-Andero M•
I really liked the way the python exercises were structured (Jupiter notebook). To let the student only focus on course-specific code, and not implement the entire program from scratch. The only downside to everything I learnt is that I did not develop the intuition for the mathematical formulas of backpropagation. I tried and I watched the optional videos as well but it was quite difficult, because I haven't done calculus in a while. I will rewatch and try to understand that part better. Everything in the course was perfect, will be looking forward to learning the next ones. Thank you!
创建者 Hugo M S P•
I loved this course and I got much more inspired to pursuit my search in this area hoping that one day I can join this amazing community and get a job in this area!
Thank you very much for your great work: loved the good sequencing of the videos, with very simple and bright intuitions about the more complex math topics, and also enjoyed a lot the Interviews with the gurus/legends of AI and ML!
Congratulations to all that participated and made such a great effort to put up this course available in such a professional format and by such a filantropic price!
Keep on with this outstanding job!
创建者 Yasoda S K•
I really enjoyed this course, as far as my knowledge is concerned no other Instructor make this course as understandable than Andrew. Being a person from different background initially I am scared about gaining intuition about the topics but Instructor explains everything in a lucid manner. I am very happy that all the programming assignments are guided in this course, a person with introductory knowledge in python can attempt and gain good grades. I recommend everyone who wants to take this course upon interest can take without hesitation irrespective of their area of study. Thank you
创建者 George Z•
The Neural Networks and Deep Learning class from Andrew Ng, deeplearning.ai and Coursera is very well structured and taught. I learned a lot and I am glad I was able to use calculus and Python to better understand what is going on underneath the hood with forward propagation, cost, parameters, backward propagation, predictions and more. Andrew and his team are exceptional instructors. The Deep Learning hero sessions are very motivational and inspiring. I also enjoy Andrew's sessions from Stanford's CS230 online. Looking forward to my next adventure in this Deep Learning Specialization.
创建者 Ivo G•
This course is very complete and takes plenty of time completely covering linear algebra, calculus and programming. If perhaps a bit slow this certainly helps whenever there is something you might not understand at first. I have found the high quality programming assignments to portray exemplary structure in the code and a very accessible way to get some experience working with different machine learning models. The course is setup in such a way that it can be comfortably done alone (haven't really tried the forum). I feel well prepared to get to work on my own deep learning project!
Before taking this course I have learned Machine Learning, which is another famous course in Coursera, also taught by Professor Ng. My feeling is that this course is not as intensive as that one, but still I learned so many new stuffs which are extremely useful in my own deep learning projects. Before taking this course, I had zero coding experience in Python and so was really nervous about the programming exercises. However, the exercises are very well organized that I think every one can handle easily. So what I want to say is, don't say you can't do it if you never give it a try.
创建者 Ronak V•
Not sure how other people would fare, but I felt like in order to have a deep understanding of what was actually going on, I needed to go study the calculus and linear algebra behind the material (which I had done previously). I know that probably turns a lot of people off and is why it's somewhat glossed over, but thought I'd just put it out there.
I will say that this course was super helpful with seeing how a theoretical understanding of DL translates into code. The coding exercises were 100/100. So thank you for that! :). Looking forward to the next courses in the specialization!
创建者 Kemal A•
I personally enjoyes this course very much. I think the videos are pretty straight-forward. I really like how every video offers a very brief, yet incredibly detailed recap of what was completed previously and what is about to be reviewed. I'd personally prefer more mathematics, but Andrew provides the equations and optional videos. This enabled me to derive all the equations manually and to compare my results with the ones provided from the course, whereas people less keen on maths were not bothered by this. I would recommend this course to anyone wanting to start neural networks.
It's an honor to be taught by Professor Ng. He's an excellent instructor, and he has very effectively brought this complex material to those of us who are practitioners rather than applied mathematicians.
Perhaps if, like me, you are familiar with the mathematics used in this work, you might find the pace a bit slow. The repetition, and the guided programming exercises, do serve a valuable purpose. By the end, by the final exercise, there is crisp clarity on what all of the components of the neural network are, and how they are utilized.
Thank you, professor, for an excellent course.
创建者 Stanislava F•
Good balance between theory and practice. The best thing is that everything that you learn during the course you also try in the notebook, right away. So all the formulas and computations become very clear. I have been working with NNs for a couple of years by now and took this course to refresh the knowledge - and surprisingly I have found a couple of things I didn't know before (or have successfully forgotten about). I would also thank Andrew Ng for taking the interviews and sharing these inspiring videos with the students, it's very motivating hearing their stories and advice.
创建者 Mohammad S Q•
First of all the course is designed and taught by AI pioneer Andrew Ng, the fact itself creates no room for any reason for not opting for this course if somebody wants to learn about DL.
Secondly, the approach is ground up, you get a confidence that without knowing or learning complex numerical foundations, you can get intuition of how deep learning works and can very well start applying this into your projects. When you see working model of a deep neural network built from fundamental codes, you feel like doing something and it makes you try harder and wider problems on your own.
The course is very helpful. Andrew Ng has explained all the basics of neural networks. Both theory and programming lessons are very neatly arranged. It helps freshers to learn a lot. Since in programming assignment, the theory and notations needed for that are also explained I could connect everything fast. And I didn't had to code everything in python. It helps people who are not that much expert in python and its an inspiration to learn more in python and other technologies. I express my gratitude towards Coursera and Mr.Andrew Ng for helping for this course. Thanks, Naima Vahab
I had almost zero knowledge about Python language and even less about all the complexity of the internal structure of neural networks (NN). I can imagine how difficult is teaching this sort of witchery to common mortals but Andrew Ng. did a great job on that simplifying and remarking just the practical and important points you require to build a simple NN. It's a clever way to start in the world of deep learning despite of the high price of this course, otherwise it could take ages learning by yourself. I wonder if I will become a kind of wizard when I finish all the 5 courses...
创建者 Rahul D•
I think this course was designed as what I need. I always want to learn from the teacher who taught me the basics and the development of the core part of the technology rather than touching its outer part and showing me where it can apply. This course tatught me how actually a neural network is built in the system and how it actually works. This course helped me lot to understand the nural networks. Everywhere on the internet what I found is just application of neural networks, no one focused on teaching the basic way designing neural networks. Thank you for this amazing course.
创建者 Sabarish V•
The course takes a very direct approach to building your first neural network. It has very little maths, and the coding is extremely simplified in the assignments. For someone with a little bit of background, it wouldn't take more than a couple hours to be done with the course and running your first multi-layer model. If you have prior knowledge of NNs, machine learning, or calculus and vectorization, the course could feel a bit tedious. In this case, I'd recommend running the videos at 1.5x or 2x speed .
My only gripe is the quality of the audio. It could have been much better.
创建者 Eche I•
I was initially running from the maths that underpins deep learning but this course made it some much easy to understand and gain intuition on how to operate deep learning. I thoroughly enjoyed Andrew's style of delivery and with his constant reassurance and I quote, "don't worry about it …", that holds very true and gradually makes you fall and gets the underlying linear algebra, calculus and derivatives that form the theoretical backbone of deep learning. The course really left me on the high and with a strong grounding to begin to press further in this deep learning journey.
创建者 Assaf B•
If you had Prof Ng's "Machine learning" in the past, you expect perfection, so you may say that this course had imperfections such as Jupyter work instead of offline work, which confines your creativity when working on an exercise, and the course bit short, even for a chapter in a specialization.
However, when comparing to other courses, to nearly any other MOOC except "Machine learning" and perhaps "Complex Analysis", this course is still a DEFINITE five stars course. In content, in knowledge bang for your time invested, in usefulness, in teaching ability, and the list goes on.
创建者 Karim W E A•
A lot of repeated material from Stanford's Introduction to Machine Learning, especially week 4. But of course, implementing all the assignments in Python, which is probably the most widely used language for ML and one of the most efficient ones as well; That was a big advantage over the material covered in Introduction to Machine Learning. Also, the material was explained in great detail and was tremendously organized. Would highly recommend the course to anyone who's looking into expanding their knowledge in Deep Learning. I can't wait to start Course 2 in the specialization!