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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

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.

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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5426 - 5450 of 7,218 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By CLAUDIO C D R

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Apr 17, 2020

Fantastic!

By Stefan O B

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Apr 13, 2020

Excellent!

By Anastasia

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Mar 15, 2020

Thank you!

By Mengting J

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Feb 10, 2020

Super good

By Yuanxin L

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Feb 2, 2020

Very good!

By Benjamin C

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Jan 15, 2020

Very good!

By Benoît T

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Oct 3, 2019

Very nice.

By Daniel A G E

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Sep 24, 2019

Beautiful.

By 区冠文

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Sep 1, 2019

条理清晰，收益匪浅！

By 尤玥

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Aug 4, 2019

very nice!

By IK O

•

Jul 30, 2019

Excellent.

By Wenyu S

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Jul 29, 2019

Thank you!

By 龚子轩

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Jun 13, 2019

EXcellent!

By Dylan S

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Apr 19, 2019

Excellent!

By Марчевский В Д

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Apr 19, 2019

Very well!

By Wenhui T

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Apr 9, 2019

Very nice.

By 최진혁

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Mar 11, 2019

very good!

By Hyeon S J

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Mar 5, 2019

Very Nice!

By 荣灿

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Feb 27, 2019

excellent!

By Gregory R G J

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Feb 9, 2019

Thumbs Up!

By Arun R

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Feb 6, 2019

Very good.

By Haris M

•

Jan 25, 2019

Pure Gold!

By Sameerkumar_Ramakameshwara v

•

Jan 15, 2019

Oustanding

By LeslieJ

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Dec 10, 2018

thanks all

By Laurence C

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Nov 23, 2018

Excellent!