Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI
About the Course
Top reviews
AS
Apr 19, 2020
Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course
AM
Oct 9, 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
6626 - 6650 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By Gopal K
•Jul 15, 2020
A lot things I got to learn.Also the worksheet were properly designed to clear any doubt if one had
By Apoorv A
•Feb 4, 2019
I think things could have been more difficult. Currently it is way to easy to pass the assignments.
By Sajal D
•Sep 13, 2020
an awesome course.....one can know more about deep learning from scratch by enrolling this course.
By Potnuru A
•Jun 18, 2018
This course provides more tips and ideas toward deep learning and introduces tensorflow. Worth it.
By Faniry R
•Mar 14, 2018
Best explanation ever! Exercises should be made available even without a possibility of submission
By Tirumala M
•Jan 24, 2018
Well explained the need of regularizations. Also python was best language to get assignments done.
By Siddhi V T
•Sep 19, 2019
An awesome course for someone who wants to learn how to tune the hyperparameters of their models.
By Alexey V
•Mar 18, 2019
Ran into bugs with some assignments, for example week 7 was not correctly calculating final model
By Tamás J
•Jun 14, 2018
Jupiter Notebook fails too offen! I had to close the window, start again, which is very annoying!
By Chen X
•Mar 27, 2018
It's fun they assume you know human error rate or optimal Bayesian. It's very rare in real world.
By Alejandro R
•Oct 26, 2017
I miss the end of video quizzes, but can't rate it lower than 4 because this course is excellent.
By Prasad D
•Jul 2, 2020
Some examples to be solved manually would have helped get a better understanding of the concepts
By Ayushman K
•Apr 24, 2020
Learnt a lot of new things. Only complain i have frmo this course is the use of Tensorflow 1.x .
By Digvijay R
•Jan 18, 2020
perhaps more practice of tensorflow is required. The tensorflow module also needs to be updated.
By Isaraparb L
•Jul 15, 2018
Some of the math may be hard to grasp, but the course gives a lot of useful information overall.
By Amine B
•Apr 25, 2018
Great course, very complete and instructive! The programming exercices should yet be less guided
By Shobhit K
•Aug 7, 2022
I felt Tensorflow coverage was fairly limited and more practice of Tensorflow would have helped
By Yasod S G
•Aug 4, 2020
It is better if you can provide some proper documentation for the TensorFlow coding. (syntaxes)
By mandar k
•Jul 29, 2020
Great course, learned about different hyperparameter in neural networks and their optimization.
By sathwik m
•May 9, 2020
It was a great course.
I hope we are going much "deeper" in deep learning in the next courses !
By Sebastian R C
•Mar 22, 2018
I think the material is quite basic, since it is an specialization, we could go a little deeper
By Ashish C
•Jun 25, 2021
week 3 was quiet tedious and a more explanation about tenser flow would have been more useful.
By Nabham G
•May 22, 2020
Deep learning is so Deep X'D. I got to learn so many new stuff which I wasn't aware of before.
By SHAHAPURKAR S M
•May 20, 2020
The batch normalization part needs to be more comprehensive. Else, everything is just superb !
By Dongjin K
•May 19, 2020
Hope to see the course materials and assignments get updated for tensorflow 2.0 in the future!