PG
Feb 7, 2023
An amazing course and gives quite a detailed and beginner-friendly description of deep learning and neural networks. This course helped me immensely in overcoming my intimidation towards these topics.
MH
Jun 29, 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
By Himanshu R
•Mar 13, 2021
Exceptional attention to basic details by Andrew. The best course to start understanding deep learning and neural networks.
By Brian R
•Feb 21, 2021
Great introductory course! I chose this course because it showed the math behind the functions and I was not dissappointed!
By Mohamed O Z
•Jan 31, 2021
This course is wonderfully explained and gives you a step by step deep understanding of the deep neural networks principles
By Zhaoran Z
•Dec 26, 2020
This is a very helpful course for beginner who want to learn how to implement neural networks. A very well designed course!
By Motasem A A S
•Oct 29, 2020
It is a very good introductory course for deep learning that I highly recommend for anyone who is interested in this field.
By ANA C B S
•Oct 16, 2020
Deja muy en claro los principios para construir NN, me encantan los Notebooks ya que puedes poner en práctica lo aprendido.
By Leonardo P
•Sep 28, 2020
It was very insughtful and mathematically clear. A good course that focuses on foundamentals and computation behind the NN.
By Luis F S B
•Jul 25, 2020
excellent learning strategy, I have highly appreciated the jupiter notebook!
Looking forward the next specialization course!
By Ansh M
•Jun 9, 2020
It's a very good course, and I guess gave me an in-depth idea about Deep learning. Excited to start with the second course!
By Varad M
•May 23, 2020
The course was delivered in a very structured manner and was quite informative. The coding assignments were indeed helpful!
By Himanshu G
•May 10, 2020
very good explanation
especially practical is very good I learn a lot, how to start implementation from screech
Thanks a lot
By Arafat R
•Apr 9, 2020
This is my first online course and I have enjoyed a lot.Thanks to Andrew Ng for explaining with such care and positivity :)
By Tarun A
•Apr 3, 2020
Andrew Ng is a great teacher and has explained every little detail of a neural network in a very simple way in this course.
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.