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

4.9
stars
63,068 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

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.

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3426 - 3450 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Maninda W E

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Apr 30, 2023

Taught a very complex content in the simplest way!

By Murad R

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Sep 11, 2022

I think the easyest deep learning course out there

By Julie W

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Apr 11, 2022

Very well designed! Thank you Andrew and the team!

By Weidi P

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May 19, 2021

Great course to know how to tune super-parameters.

By Daimer J M O

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Apr 24, 2021

It'd be great if we had worked more on TensorFlow.

By Daniel B

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Jan 15, 2021

Great in-depth explanations and hands-on examples.

By vedang c

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Jan 3, 2021

Excellent course! Good introduction to TensorFlow.

By Alvin B K

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Oct 15, 2020

This is a very awesome course. Andrew is the best.

By Marcelo V

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Jul 9, 2020

very interesting information, really deep insights

By TC

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Jun 27, 2020

Very thoroughly researched and informative course.

By Manuel L

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May 27, 2020

Very good insights of the several hyperparameters.

By Saurav S

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May 25, 2020

one of the best machine learning courses out there

By Gustavo R T

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May 16, 2020

Excellent material, well organized, great teacher!

By Mohammed Z M

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Apr 15, 2020

great course wrt deep learning and bright content.

By 王浩

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Mar 1, 2020

Thanks for devoting such a precious course online!

By Abdelrahman M

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Feb 23, 2020

Very useful course cannot wait to take the 3rd one

By Agniteja r

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Oct 2, 2019

Covers optimization algorithms which are new to me

By ipsita s

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Sep 29, 2019

Very informative course Kudos to deep learning AI.

By Aniket N M

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Aug 2, 2019

Awesome course. Learnt what is taught nowhere else

By Nilesh M

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Jun 21, 2019

Excellent course and very well explained by Andrew

By Aditya V S

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Jun 18, 2019

This course has got more content than I asked for.

By Yonathan C

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Jun 11, 2019

i am so happy and grateful for taking this course.

By ujjawal g

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Jun 8, 2019

amazing course, great explanation of all concepts.

By WU H

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May 20, 2019

If we can download the dataset, it will be better~

By Ravi S

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Apr 8, 2019

Provided a lot of intuitions and practical advice.