AM
Oct 8, 2019
I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation
XG
Oct 30, 2017
Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.
By David B
•Oct 11, 2017
I would recommend these series of courses in Deep Learning to any PhD student who's domain lies somewhere else. It is a great tool to apply to your specific research topic.
By Tu L
•Sep 20, 2017
Another amazing course of Professor Andrew. I have deeply understood many useful techniques to tune up DL models, which I used to adjust in a non-systematic way previously.
By Александр В З
•May 16, 2021
Here was many new features for me, about DeelLearning NN training specific. Probably Tensorflow studing out of date. At least in such little volume. Better to learn Keras.
By Manuel R
•Sep 12, 2020
Really great course! The way Andrew Ng teaches is so simple and yet elegant. I've learned a lot from this curse, specially some techniques to improve deep neural networks.
By tolga ş c
•Sep 8, 2020
It is a wonderful course. Prof. Andrew talks all you need to understand and also implement deep learning applications. Prof. Andrew is awesome. I like this specialization.
By Michael S
•Aug 23, 2020
It is a very comprehensive course on neural networks, even though the assignments are somewhat too guided for my flavor. The assignments should demand more of the student.
By Pramod H K
•Jun 24, 2020
Excellent review of hyperparameter tuning and concerned theoretical background. Although introduction to tensorflow was rather brief, the experimental setup was very good.
By Robert D
•Nov 9, 2019
This is an excellent course. As usual, Andrew Ng gives clear and concise explanations. The programming exercises help to explain and better understand the course material.
By Marc v W
•Nov 25, 2018
As good as the first one with more insights in hyperparameters tuning and faster convergence techniques. The whole course finishes with a small introduction to TensorFlow.
By Warwick T
•Mar 18, 2018
A great course which gives valuable insights about all kinds of hyperparameters, and how to treat them. Also very nice programming examples with both numpy and tensorplow.
By Alejandro A
•Mar 11, 2018
After this course, I've realized that I understand much better the terminology on papers, online demos, labs, etc. But most important, that I know how the black box works.
By Tony C
•Jan 4, 2021
Andrew is an amazing instructor. He explains concepts very clearly and the programming exercises are super important to make ensure we can apply the concepts in practice.
By João F
•May 9, 2019
Great course covering a range of complex topics. The assignments are very good and well as the theory behind all the steps. Professor Ng is an awesome teacher! Thank you!
By Sudheer P
•Jan 5, 2019
This course teaches the mechanics of deep neural networks and how to optimize the neural net. Prof goes at a reasonable pace so that the student understands the concepts.
By sh39o
•Mar 12, 2018
It provides us methods of optimization and acceleration. At last, there are NN programming framework listed. The examples shown are very intuitive, which I like very much
By yassine a
•Jan 20, 2018
very clear and general, I think that he covered all the aspects of regularization and hyper parameters tuning. The last videos and assignment about tensorflow was amazing
By Rajesh S
•Dec 29, 2017
It was a great course which helped me to strengthen my understanding of Neural Network even more. I would like to thank Andrew N.G. and the whole team behind this course.
By Adrian S
•Oct 14, 2017
In this course I learned or reviewed the following items in enough depth to perform in a job with them:
Initialization
Regularization
Batch Normalization
Optimizers
TensorFlow
By Anirudh
•Jun 29, 2024
Really well developed course. If you're looking to go into the AI, this course will be very helpful. It goes into great depth on how to optimize your learning algorithm.
By Ahmad R
•Oct 5, 2023
Excellent course very detailed on the theory behind the hyperparameter tuning but could be a bit more hands on with tensorflow though week had some but it was very basic
By Uttiya K
•Jul 4, 2020
No doubt, this is one of the best courses on Coursera. It has got a proper amalgamation of theory and programming assignments. Special thanks to Andrew Sir and Coursera.
By Dao M D
•Jun 25, 2020
Great course! It would be better if there is a summary of the workflow when one tries to solve a problem using deep neural networks with all of the techniques mentioned.
By Martin H
•Dec 8, 2019
another great course by Andrew Ng, teaching us all about hyper-parameter optimization and DL frameworks. However the i did find TensorFlow 1 syntax really not inituative
By Xiaolong L
•Jul 18, 2019
this is a great course teaching practical aspects about deep learning, you can learn how to implement the regularization and optimization, also learn to use tensorflow
By Subhadeep D
•Feb 14, 2019
Wonderful course!!! Taught me how to tune hyperparameters and basics of tensorflow framework. Good kickstart to deep learning!! Thanks a lot Coursera and Deeplearning.ai