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

4.9
stars
63,478 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

RR

Jun 12, 2020

Could have increased assignments and some more indepth knowledge of tensorflow and proper installation way of tensorflow cause mine is showing error when iam trying to practice as shown in the video

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

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5951 - 5975 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Nitesh N

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Sep 11, 2020

cool

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Sep 1, 2020

good

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Aug 24, 2020

good

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Nice

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Aug 1, 2020

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Jun 28, 2020

Good

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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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good

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May 6, 2020

good

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Apr 21, 2020

good

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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

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Jan 9, 2020

Good

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Jan 6, 2020

Good

By VENKATESAN S

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Nov 7, 2019

good

By yinxiaobao

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Oct 22, 2019

无可挑剔

By 魏英杰

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Sep 21, 2019

good

By Xiong Z

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Sep 3, 2019

good