JN
Invalid date
I know this is intended for a broad audience, but I found that the assignments were too easy. Not that they are testing easy material, but that the answers are almost stated directly in the questions.
AK
Invalid date
One of the best courses I have taken so far. The instructor has been very clear and precise throughout the course. The homework section is also designed in such a way that it helps the student learn .
By Gianlucca C
•Oct 11, 2023
Andrew Ng does such a good work explaining complex concepts with clarity. You can note it when attending his classes, because you feel smart, and that's mostly because of his good work teaching.
By 钱茜
•Dec 3, 2021
thank you professor Andrew Ng for making a complex thing simple and clear. the guided programming and metors are also a great help and feel great sense of achivement! Thank you very much indeed!
By Louis C
•Oct 11, 2020
This course is eminently suitable for students who have little basic programming and calculus knowledge. I really enjoy this course. Meanwhile, I have learned a lot as well. Thank you very much!
By ines
•Sep 2, 2020
A must have to everyone that would like to acquire a deep understanding about Deep Learning. Professor Andrew Ng materials are outstanding and each component is highly detailled in a simple way.
By hagop m
•Aug 8, 2020
The first time I understood the concept after trying for several months, would like to thank the team who put all the effort to build this course. Looking forward to move on to the second phase.
By Anish V
•Jul 21, 2020
I found the course very helpful in getting the concepts of Neural Networks. It provides background maths equations to every concept which is very insightful and I found too be very interesting!!
By Iago M
•Jul 16, 2020
Definetely one of the best courses available in Coursera! The case-based approach aligned with programming assignments on Jupyter offers students the opportunity to convert theory into practice.
By Saurabh P
•Jun 25, 2020
This is "THE" best course you can take to enter into the Deep Learning field. Andrew Ng explained backpropagation in such a concise manner that it will always be available in my Mind's cache :).
By Prateekraj S
•Jun 1, 2020
Helping to build very strong fundamentals for neural networks and machine learning, the knowledge from this helps me intuitively understand a lot of literature and implement solutions of my own.
By Quentin Q
•May 19, 2020
This course was very helpful in learning about forward/backward propagation as well as general programming tips on implementing deep neural networks via vectorization rather than with for loops.
By Shanthan G
•May 2, 2020
The course was very interesting and I personally enjoyed working on neural networks.The assignments as well as the quiz was also very testing and sufficient to test the knowledge of the student.
By Мкртчян В И
•Mar 22, 2020
This course has the following advantages:
1) academic presentation of the material
2) an explanation of all the details necessary for the programming assignments
3) an excellent pace for memorizing
By Dr. L A
•Mar 15, 2020
Great course to get started with the basics of Deep Learning. Key points are covered thorougly and the programming assignments are possible without prior programming knowledge (though it helps).
By elie a
•Oct 26, 2019
I found this course amazing to me because it delved deep into the maths behind neural nets and deep learning, it was what I was looking for. Also having a lot of hands on exercices helped a lot.
By Nishith R
•Jul 14, 2019
I like the way course is structured with assignment. It will be great to add course material as pdf so that students can read offline. I personally found assignment challenging due to notations.
By Michael V
•Jul 4, 2019
Very use full course. It gave a good understanding of neural networks and deep learning in a great educational setting of combining videos, multiple choice test and practical coding assignments.
By Nicolas S
•Jun 8, 2019
Andrew Ng is really a great teacher who knows how to introduce progressively the complexity of deep learning. I would add to the course notes some external reference to go deeper in the algebra.
By Sumanshu A
•May 16, 2019
This course really helped me bridge some gaps in my knowledge. I feel more confident in implementing neural networks now. For the first time i was able to understand the maths behind the scenes.
By Sharvil G
•Nov 3, 2018
This course is one of the best courses I have ever had. The instructions were simple enough to follow and I really loved the programming assignments. Also the insights given were really awesome.
By Duc K
•Sep 20, 2018
I learned a lot of useful knowledge from this course. The video lectures and resource is great. I study the concept and then practice after each week. It make me understand the knowledge better.
By Shaun M
•Jun 18, 2018
An excellent, theory-driven and mathematically-informed introduction to deep learning, and how to implement neural networks in Python. Even for a Python novice it was easy to pick up what to do.
By Darren S G
•Apr 2, 2018
Well taught, great course. Really solid grounding in NNs. I would have liked to go deeper into the calculus for the deep neural networks but nonetheless had a great time learning in this course.
By Suryadeep P
•Mar 14, 2018
Gives a pretty brief and good understanding about how a deep learning model in general works and at the same time helped to implement a multilayer model of neural network for absolute beginners.
By Xiao H
•Feb 15, 2018
it's a great course. I like the interview part very much. By talking with actual researchers, I get to know more about their ideas and thinking, it's a good supplement of their papers or reaches
By Satyanarayana V
•Jan 27, 2018
An excellent way to know Deep Learning theory and practice with programming templates to solve real world problems. Now I'm very confident about applying these solutions to my own problem space.