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

4.9
stars
62,864 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

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

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

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5901 - 5925 of 7,219 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Atrayee C

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Sep 30, 2020

good

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Sep 29, 2020

good

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Sep 27, 2020

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Sep 19, 2020

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Sep 11, 2020

cool

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good

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Aug 24, 2020

good

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Aug 22, 2020

Nice

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Aug 1, 2020

Nice

By RAGHUVEER S D

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Jul 25, 2020

good

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Jul 14, 2020

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Jul 3, 2020

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Jun 28, 2020

Good

By morarjeek@gmail.com

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Jun 16, 2020

good

By 17MI556 R L S

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Jun 13, 2020

Best

By Sudhakar R N

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May 11, 2020

good

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May 10, 2020

good

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May 6, 2020

good

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Apr 21, 2020

good

By Steven

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Apr 12, 2020

good

By zhaoxinyang

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Mar 16, 2020

NIce

By garikipati v

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Feb 10, 2020

nice

By Tao N

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Feb 8, 2020

good

By do m T

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Jan 9, 2020

Good

By 黄卓恒

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Jan 6, 2020

Good