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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

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

SC

Feb 14, 2018

A valuable course in enhancing one's ability to properly identify the correct Hyperparameter to tune according to the situation - a critical task in day-to-day debugging & tuning of an algorithm.

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5801 - 5825 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Zhihui F

•

Nov 29, 2017

perfect

By Imtiaz K

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Nov 29, 2017

perfect

By Washing L

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Nov 21, 2017

Useful.

By Akshay M

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Oct 29, 2017

awesome

By Priyank R S

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Oct 24, 2017

Awesome

By guanghuiqi

•

Oct 16, 2017

改善神经网络，

By 雷后超

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Oct 12, 2017

老师讲的非常好

By Oleg D

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Oct 1, 2017

awsome!

By anurag t

•

Oct 1, 2017

awesome

By Rongjun L

•

Sep 20, 2017

非常棒的课程。

By douxiao

•

Sep 20, 2017

课程内容不错！

By Joshua L

•

Sep 2, 2017

Amazing

By 书生杨

•

Aug 20, 2017

perfect

By Anas I E

•

Jan 15, 2024

Great!

By amir k

•

Jul 2, 2022

great!

By spactempo

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Jan 28, 2022

Great

By Natthakorn K

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Sep 14, 2021

Greek.

By Tanishka M

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Apr 11, 2021

Great!

By PRASAD D

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Sep 2, 2020

Thanks

By Mahin

•

Jul 31, 2020

Superb

By Dave L

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Jul 10, 2020

good !

By Adilson J J C

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May 20, 2020

THAMKS

By Mohamed Z K

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Apr 26, 2020

Thanks

By Daniel B

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Apr 22, 2020

Lovely

By Mohammad J P

•

Mar 27, 2020

Great!