GC
May 30, 2019
I have learnt a lot of tricks with numpy and I believe I have a better understanding of what a NN does. Now it does not look like a black box anymore. I look forward to see what's in the next courses!
AT
Jun 29, 2020
I think that this course went a little bit too much into needy greedy details of the math behind deep neural networks, but overall I think that it is a great place to start a journey in deep learning!
By Abel V
•Mar 29, 2020
Excelente curso, a pesar de evitar muchos aspectos teóricos más duros es bastante intuitivo en su desarrollo. Recomendable.
By Soham B
•Jan 14, 2020
The Course content is well made and beginner-friendly. Apart from some audio issues, I had a wholesome experience learning.
By samet
•Jan 2, 2020
As always he is a great teacher, I learned a lot and keep learning until success comes.
Thank you Andrew, you are the best.
By Christopher K
•Jan 2, 2020
Really clear and easy to follow examples, in-depth notes and/or explanations, coding exercises are challenging yet perfect!
By DC
•Dec 8, 2019
very well designed course flow that helps students to grasp forward propagation and backward propagation clearly. Nice job!
By Raj B
•Oct 29, 2019
This is probably the most easily assimilable and genuine course in this domain.Thanks for creating this awesomazing course.
By Jong L
•Jul 19, 2019
It gives me the math which describes the insight knowledge of how the neural network works.
Great class and quite enjoyable.
By Sayf E H
•Jun 23, 2019
very good for experienced programmer, need some math background if you want to understand what is happening, but good job !
By Jakub L
•Jun 3, 2019
Good to go over the basics from Machine Learning. This course is more comprehensive but does not introduce many new topics.
By Charles D
•Feb 11, 2019
It's very clear how Andrew explains Neural Network. I have a background in econometrics and the transition was really easy.
By Roman Z
•Jan 25, 2019
The concepts are explained very clearly. The programming assignments were hard though, coming from programming mainly in R.
By Jose L P
•Nov 7, 2018
Great course giving you a wide vision of what can be achieved by using Neural Networks to solve a certain Machine Learning.
By Nooruddin K
•Sep 10, 2018
This course builts a strong foundation before you get your hands dirty with complex theories of neural networks. Great Job
By Deepak P
•Sep 9, 2018
get's you through the basics of deep learning and neural networks and why they should be used and when they should be used.
By Vishal M
•Aug 15, 2018
very good and well designed. but i think to successfully complete this, basic understanding of machine learning is needed.
By Andrei V
•Jul 24, 2018
Beautifully presented! Really easy to understand and the programming assignments offer the needed intuition for the theory.
By Kedar T
•Jul 16, 2018
Fantastic course. Learned fundamentals but also practiced implementation with python codes. Challenging hence real learning
By Shashank S S
•Jun 25, 2018
This course is very good to get a good sense of deep learning and gain confidence to tackle more difficult problems......:)
By Roel H
•May 10, 2018
Great cource! Learned much about NN, what they are and how they work!
Thanks Andrew! Looking forward to the next cources :-)
By wendy d w
•Dec 31, 2017
Excellent introduction in deep NN ! Very clear assignments. Looking forward to the rest of the deep learning specialization
By Li M
•Dec 23, 2017
Thanks Andrew Ng for such an extraordinary course, which is extremely detailed and lay a concrete foundation of my career.
By Aman D
•Dec 17, 2017
Perfect for newbies.
Can you please give us the utils data, I am not able to manipulate or try independently on the dataset.
By Jamshid S
•Nov 4, 2017
I really enjoyed by taking the course. Thank you for opportunity to take the course and broaden knowledge in deep learning.
By Avineil J
•Oct 14, 2017
Excellent course covering all the basics ever required. The paradigm of calculating forward and backward is very intuitive!
By Vladislav Z
•Oct 8, 2017
Good materials, but it looks like you should have some prior knowledge from Andrew Ng ML course or any other NN/ML courses.