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

4.9
stars
63,068 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

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

NC

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Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

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5576 - 5600 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Aditya A J

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Jan 13, 2020

Thank you

By Ashish G

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Jan 7, 2020

excellent

By Bình N N

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Jan 5, 2020

very nice

By ShapeofMyHeart

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Dec 26, 2019

So great！

By Adil D

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Dec 6, 2019

Excellent

By Eduardo R S

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Nov 30, 2019

Excellent

By Sachin S

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Nov 15, 2019

Good work

By Arunish K

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Nov 3, 2019

fantastic

By Naveen S

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Oct 31, 2019

Excellent

By José T R R

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Oct 7, 2019

Excelente

By Sebastian C

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Aug 15, 2019

Excellent

By Chris S

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Jul 30, 2019

Thank you

By Bilal A B

•

Jul 27, 2019

Best**inf

By pengguo

•

Jul 9, 2019

学到很对实践方面的

By Kartik G

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Jul 7, 2019

Love it !

By Jairo A R R

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Jul 2, 2019

Excelent!

By Erie F B

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Jun 20, 2019

excellent

By Lalit M Y

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Jun 3, 2019

Excellent

By Jagannadha P N

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May 30, 2019

Excellent

By 刘盾盾

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May 28, 2019

深入浅出，十分受益

By Aru

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May 22, 2019

good good

By Nazarii N

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May 19, 2019

thank you

By Payne Y

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May 12, 2019

very good

By aleks j

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Apr 22, 2019

Brilliant

By Aman W

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Apr 3, 2019

Excellent