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

4.9
stars
63,245 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

AM

Oct 8, 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

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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3776 - 3800 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Vaibhav S

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Jan 20, 2020

Its a very good course .I really enjoy it

By Bằng P C

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Jan 14, 2020

A good course for optimize Neural Network

By Eric

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Jan 13, 2020

it is great course. I have learned a lot.

By Chacko T

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Dec 9, 2019

Lot of information not available in books

By Shawn H

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Sep 23, 2019

Another outstanding class in this series.

By Yasar M

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Sep 19, 2019

Deep learning is lolly pop with Andrew Ng

By Jose F P P

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Jul 25, 2019

Excellent content with well explanations.

By mike v

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May 1, 2019

Excellent course. I am telling everybody.

By Veeresh I

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Apr 9, 2019

well explained and easily understandable.

By Neelkamal B

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Dec 9, 2018

Very good pace of learning for beginners.

By Jedrzej P

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Apr 29, 2018

Awesome!! Helps a lot in finding problems

By Alexander B

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Apr 24, 2018

Good intro to Tensorflow and optimization

By Santiago L d H

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Apr 24, 2018

I loved the last exercise with TensorFlow

By Raffaele T

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Mar 9, 2018

Very intersting: it's simple and complete

By 潘俊文

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Feb 26, 2018

Thanks! The best DL course for beginners!

By Sui X

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Feb 21, 2018

easy to understand and hace great useful

By Max P

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Jan 24, 2018

Great course, but exercises are too easy.

By Samujjwal G

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Dec 31, 2017

Enjoyed a lot completing the assignments.

By 李瑞平

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Dec 18, 2017

more deep program exercise will be better

By Juan P V H

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Nov 1, 2017

Excelent Course..!! Highly recommended..!

By Mangesh K

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Oct 27, 2017

The Tensorflow assignment was awesome !!!

By SATYAJIT P

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Sep 26, 2017

Important course in DEEP learning series.

By Songpeng Z

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Sep 10, 2017

Many great techniques in neutral network.

By Meysam M

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Aug 27, 2022

Awesome. Thanks for this helpful course.

By Md M H G

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Sep 15, 2021

Great course for CS background students.