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

4.9
stars
62,856 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

AB

Aug 26, 2021

Amazing course which focus on the theoretical part of parameters tuning, but it needs more explanation of Tensorflow, as I felt a little lost in the last project. Except that, it is an amazing course.

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.

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5751 - 5775 of 7,218 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 王世超

•

Mar 31, 2018

Prefect

By IceAzen

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Mar 25, 2018

thx~Ng!

By Muhamad F K

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Mar 13, 2018

Superb!

By aka 大

•

Feb 22, 2018

perfect

By hongtao z

•

Feb 14, 2018

Thanks!

By 石玉明

•

Jan 27, 2018

COOL!!!

By 叶国祥

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Dec 16, 2017

Thanks!

By Saurabh B

•

Dec 12, 2017

Perfect

By Zhihui F

•

Nov 29, 2017

perfect

By Imtiaz K

•

Nov 29, 2017

perfect

By Washing L

•

Nov 21, 2017

Useful.

By Akshay M

•

Oct 29, 2017

awesome

By Priyank R S

•

Oct 24, 2017

Awesome

By guanghuiqi

•

Oct 16, 2017

改善神经网络，

By 雷后超

•

Oct 12, 2017

老师讲的非常好

By Oleg D

•

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

•

Jan 28, 2022

Great

By Natthakorn K

•

Sep 14, 2021

Greek.