JP
Feb 12, 2018
I would love some pointers to additional references for each video. Also, the instructor keeps saying that the math behind backprop is hard. What about an optional video with that? Otherwise, awesome!
SM
Jun 14, 2021
Andrew Ng is one of the best teachers out there to learn NNs and DL. His deep insight into the math of the subject gives us motivation to learn more, amazing course to learn the basics of the subject.
By Kedar T
鈥Jul 16, 2018
Fantastic course. Learned fundamentals but also practiced implementation with python codes. Challenging hence real learning
By Shashank S S
鈥Jun 26, 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
鈥May 11, 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
鈥Dec 31, 2017
Excellent introduction in deep NN ! Very clear assignments. Looking forward to the rest of the deep learning specialization
By Li M
鈥Dec 24, 2017
Thanks Andrew Ng for such an extraordinary course, which is extremely detailed and lay a concrete foundation of my career.
By Aman D
鈥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
鈥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
鈥Oct 15, 2017
Excellent course covering all the basics ever required. The paradigm of calculating forward and backward is very intuitive!
By Vladislav Z
鈥Oct 9, 2017
Good materials, but it looks like you should have some prior knowledge from Andrew Ng ML course or any other NN/ML courses.
By FreyWang
鈥Sep 17, 2017
This course helps me a lot ,I have learned the basic knowledge of deep learning and I am full of confidence now ,thanks you
By Rachel H
鈥Sep 11, 2017
Andrew is an amazing teacher. I enjoyed very much learning from him. I will keep going to finish the entire specialisation.
By Victoria G
鈥Aug 23, 2017
It is really helpful for me to know more about deep learning and neural networks, can't wait to learn the following course.
By Bruno L
鈥Feb 3, 2022
A very intensive course for not programmers, but very intuitive and full of content. As an economist I really recomend it.
By Shai R
鈥May 21, 2021
I enjoyed the course very much
The assignment were exactly as needed - challenging but with no overburden of technicalities
By Anurag S J
鈥Feb 25, 2021
It is very good course with lot of information and I want to thank team of deeplearning.ai to provide such a good content.
By Gayan L
鈥Jan 1, 2021
I would say the content, teaching style, programming assignments are perfectly matched. To summarise, an excellent course.
By 携褕懈薪 袚 袗
鈥Nov 7, 2020
It's great course for everybody (regardless of background) who want to start learning of Neural Networks and Deep Learning
By Zelalem B
鈥Oct 30, 2020
This course makes the ocean easy to dive in and has a good height to flip over and fly in the air!! I really enjoyed it. t
By Prabhat k
鈥Oct 4, 2020
Andrew's explanation is awesome and easy! Quality of assignments are very high. A must have course for NN and DL aspirants
By Pranab S
鈥Sep 14, 2020
I am thankful to Andrew Ng. for this amazing start to the Deep Learning Specialization. Looking forward to my next course.
By J B
鈥Sep 14, 2020
a great, hands-on course that prepares you for the world of deep learning with the right mix of mathematics and programing
By Loc_Le
鈥Aug 23, 2020
Thanks all of contructor, I learned more skills about neural network and deep learning. It helps me so much about my work.
By Marcel D
鈥Aug 16, 2020
Very nice course to understand the neural networks and deep leraning, I will watch it again to make my concepts more clear
By Carl P P
鈥Aug 7, 2020
There's a tad too much handholding in the homework for my taste, but globally this is a well-paced and interesting course.
By Ewerton L d S
鈥Aug 1, 2020
Excelente curso, explicar passo a passo como implementar um rede neural sem usar bibliotecas como tensorflow, keras e etc.