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

4.9
stars
63,221 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

JS

Apr 4, 2021

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

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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6701 - 6725 of 7,257 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Luis E G A

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Nov 23, 2019

great course, last videos (except for frameworks ) were somewhat hard to follow.

By Ran S

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May 17, 2019

More excersies on batch norm and hyper parameter search could have been usefull

By 成萧何

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Mar 26, 2019

A programming assignment about batch normalization and softmax will be helpful.

By Enrique J S

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Sep 23, 2018

Very interesting to improve the foundations of neural networks previously learnt

By udit b

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Mar 7, 2018

Not much ground covered on implementation of hyperparameter search in tensorflow

By Muktanil D

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Jan 6, 2018

Great course, nice explanation of optimization techniques...too less TensorFlow.

By Kumar V

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Oct 15, 2017

Good course could have been better expected little more on Tensor flow exercise.

By C. G F

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Sep 30, 2017

Clear and simple introduction to the topics. Useful hints and 'takeaway lessons'

By Abidur R

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Jun 25, 2020

Should have some TensorFlow Tutorials. I have found it difficult to understand.

By xiao c

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Apr 12, 2020

Good content. But I found the pace a little slow , maybe just my impatience. :)

By David A H V

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Mar 15, 2020

Great insights, however the programming assignments came with some minor issues

By Nicolo d G

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Feb 17, 2019

A bit short and light to be a course on its own but still useful in the series.

By Adrianus B K

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Oct 7, 2018

This course is a bit harder than the first one although it is only three weeks.

By Aris P

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Nov 24, 2017

Useful material and good teacher but the grading system has some serious issues

By Marco v d L

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Nov 4, 2017

Video's: 5 star

Practice: 3 star (it will test your copy and past skills mostly)

By Han T L

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Mar 21, 2021

A bit less structured than the 1st course, but still excellent! Learned a lot!

By Biral K P

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Aug 17, 2020

A great course overall. Implementation in TensorFlow 2.0 would have been nice.

By Andrew P

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Oct 28, 2019

Wonderful course, would have liked another assignment working with TensorFlow.

By bayu a n

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May 4, 2019

Need more in-depth about parameter tuning, but it's a very good course overall

By Mohit k

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Jun 22, 2018

Thanks for such amazing course. Add little bit more on Tensorflow fundamentals

By Lucas O S

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Dec 11, 2017

Great course, still some issues in quizzes and autograder, and lack of support

By Vladislav Z

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Oct 8, 2017

Course it good, but IMHO to simple.

BTW I do not have real experience with NN.

By Haim K

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May 30, 2020

It would be beneficial to give more details on how tensorflow optimizers work

By Ankur D W

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May 9, 2020

This is an important course to go through for improving deep neural networks.

By Luis d l O

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Jan 15, 2020

Very nice one. Focus on practical aspects that are quite necessary to use NNs