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Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
62,857 ratings

About the Course

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

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.

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6626 - 6650 of 7,218 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Rajiv C

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Aug 25, 2017

It was fun to get to know other optimization techniques and how to speed up the network.

By Prajwal M H (

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Apr 21, 2020

The difficulty of the course is medium. More time should be spent by learners for this

By Andrew W

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Jul 29, 2019

Felt fast faced. But a good introduction to neural network hyperparameter optimization.

By Gaurav B

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Nov 13, 2018

Course was really good, but I feel in tenserflow regularization should also be covered.

By Ahmed A

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Oct 28, 2018

The course was very informative but the tensorflow notebook was buggy and needs fixing.

By Arjan G

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Dec 7, 2017

Good course, but still has some minor issues in the assignments that needs to be fixed.

By Nils-Jörn

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Dec 3, 2020

Don't like the Jupyter environment - i loved the Octave used in the basic ML Course...

By Oleksandr T

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Jul 28, 2019

Last code assignment is a mess. Looks like organizers have no intention to fix errors.

By Cindy Q

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Apr 1, 2018

Week 3 feels a little rushed. The tensorflow material can be explained more in detail.

By Nicola P

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Nov 11, 2017

Lessons are very clear and insightful. I would have expected more complex assignments.

By sree v

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Sep 5, 2017

TensorFlow assignment is not good. There are many issues in submitting the assignment.

By Mohammad M H

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Jul 31, 2020

most of the topics and assignments are great! but few parts of them are a bit boring!

By Mayur S

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May 9, 2020

Some more programming exercise with an combination of all the weeks would have helped

By Simona T

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Mar 9, 2020

The assignements are very instructive and useful, but they could be more challenging.

By Gaojing W

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Aug 28, 2017

Content is comprehensive but lack of an detailed assignment of tuning hyperparameter.

By Vincent R

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Jun 11, 2020

Great overview. The only critique is that the practice problems are a bit spoon-fed.

By Utpal D

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May 9, 2020

learn a lot about how to fine tune hyperparameter & other regularization techniques.

By Javier L P

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Apr 17, 2020

Missing the notes in between the videos like in the Intro to Machine Learning course

By yesid a c m

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Oct 27, 2019

hay funciones de tensorflow que ser[ia adecuado que las explicaran en los notebooks.

By Asutosh S

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Jun 12, 2018

Assignments are too easy. They wouldn't even require one to watch the course videos.

By Samit H

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Jul 14, 2020

Very Good for knowing details . Few more practices in programming might help a lot.

By Ryuzak-E

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Jan 13, 2020

4 stars for the course's rich content. minus one for the overly structured projects

By Andreas B O

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Jan 7, 2020

Excellent course - However, the Tensorflow tutorial could be a little more thorough

By emmanuel m

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Jan 31, 2021

Wish there was another weeks' worth of learning on tensorflow or more labs for it;

By Gil K

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Apr 14, 2020

A lot of good topics, but a lot of tasks are irrelevant for todays practical world