Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI
About the Course
Top reviews
XG
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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.
YL
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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.
2001 - 2025 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By Melvin M
•Aug 11, 2019
Complete, addictive and professional course. It covers every aspect from theoretical to practical.
By Shringar K
•Jul 28, 2019
Very well explained with real case scenarios. Shall recommend to anyone interested in learning DL.
By Jack S
•Jul 7, 2019
Great Class! It's nice to have some experience on frameworks like Tensor-flow by the end of class.
By Rajnish K
•May 30, 2019
this course is good for building foundation and start a career in data science and computer vision
By Akshay P
•May 30, 2019
Very In-depth course and useful insights provided by Andrew. The way of explanation is really good
By Rohan G
•Feb 11, 2019
Gives quite an insight regarding all the hyper parameters and how to use them to get a good model.
By ken A B
•Oct 25, 2018
great depth of approaches for the various methods for dealing with bias and variance in DNN models
By saquib n h
•Jan 30, 2018
Excellent programming assignments, Quizs and very properly made to teach very important concepts.
By Ismael
•Dec 5, 2017
I would love if we were give a whole project to write it from scratch and apply all the principles
By Gokhan A
•Sep 15, 2017
I really liked the discussion of different SGD methods, and the smooth introduction to Tensorflow.
By Gowri S P
•Jul 29, 2021
Following Andrew sir all the way from ml course. He gives a lot of intuition, Superb explanation.
By Kevin R R M
•Sep 26, 2020
Great course, I learned valuable topics in Regularization, Optimization and Hyperparameter tuning
By Vikash S
•Sep 6, 2020
An excellent course for anyone who wants to learn about how to design a good deep learning model.
By Rein L
•Jul 21, 2020
Very useful and instructive course! Thanks Andrew for the explicit lectures and assignment notes.
By Mehran K
•Apr 26, 2020
A course with good set of techniques and guidelines to improve and fine tune the neural networks.
By Alberto E C
•Apr 1, 2020
Very good tips for improving your coding and its performance. Nice intro to Tensorflow framework.
By David N
•Mar 17, 2020
I really appreciate the discussion of best practices when it comes to hyperparameter tuning, etc.
By Maxim V
•Sep 29, 2019
A crucial piece of knowledge about NN optimization techniques and a brief intro to Tensorflow v1.
By Mathieu F
•Aug 31, 2019
Finally a clear explanation and methodology about the dark magic of Deep Learning Hyperparameters
By Paul F G
•Aug 9, 2019
A very good follow on to the first, introductory course. More of a "deeper dive" and more detail.
By Wesley H
•Jul 23, 2019
Really great course. It naturally builds on the previous course. Nice introduction to Tensorflow.
By Liam A
•Jun 16, 2019
Great at introducing key hyper-parameters, their importance, and the appropriate way to use them.
By Roronoa Z
•Jun 14, 2019
The problems are getting more and more interesting :d
On to the next course in the specialization!
By Korobov P
•Apr 28, 2019
Excellent! I've learnt about useful optimizations and some delicate things about neural networks.
By Ravikant C
•Mar 28, 2019
I really enjoyed doing this assignment. A perfect combination of hands-on and concept discussion.