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

4.9
stars
62,883 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

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

AB

Aug 26, 2021

Amazing course which focus on the theoretical part of parameters tuning, but it needs more explanation of Tensorflow, as I felt a little lost in the last project. Except that, it is an amazing course.

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4876 - 4900 of 7,219 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By YOGESH S

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Sep 23, 2019

Great Course!!!!

By Tales M

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Sep 21, 2019

very good course

By Udith D B H

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Sep 10, 2019

The best course.

By yotsawan c

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Sep 1, 2019

highly recommend

By Xinghua J

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Aug 28, 2019

very use course.

By ANKUR G

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Aug 21, 2019

very informative

By Amal J

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Aug 14, 2019

Brilliant course

By Vamsi K G

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Jul 31, 2019

In Depth content

By Arnav B

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Jul 8, 2019

great learning!!

By Marcos C C

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Jun 23, 2019

Great! course!!!

By William G

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Jun 18, 2019

Awesome course !

By yi h

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Jun 13, 2019

thank you andrew

By 张新会

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Jun 6, 2019

课程非常棒，细节解释的非常详细。

By Enrique C

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Mar 3, 2019

Excellent course

By Armand L

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Feb 25, 2019

excellent course

By Zhenwei Z

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Feb 5, 2019

Very good course

By Navruzbek K

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Feb 2, 2019

very good course

By Yuting Z

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Jan 14, 2019

its very useful!

By pratik a

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Jan 4, 2019

A great course!!

By Vikas K

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Dec 23, 2018

must have course

By J K

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Dec 23, 2018

Excellent course

By Ricardo N d R B

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Dec 13, 2018

Excellent course

By Ganesh V K

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Nov 24, 2018

Excellent Course

By Soumi S

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Nov 20, 2018

very very useful

By Vinayak S

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Sep 28, 2018

Great Experience