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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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5526 - 5550 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Daniel V

•

Nov 14, 2017

awesome!!!

By free_siemens

•

Oct 27, 2017

impressive

By Jiameng P

•

Oct 20, 2017

recommend！

By Panos B

•

Oct 18, 2017

Fantastic!

By ricky a

•

Oct 18, 2017

Just great

By Rui M

•

Oct 9, 2017

Insightful

By Fabrício M B

•

Oct 8, 2017

Excellent.

By Deleted A

•

Oct 7, 2017

Love it!!!

By ryan

•

Sep 24, 2017

Awesome!!!

By 黄顺亮

•

Sep 24, 2017

very good!

By Shikun C

•

Sep 20, 2017

brilliant!

By Tibor Z

•

Sep 20, 2017

excellent!

By 姚佳奇

•

Sep 14, 2017

Very good!

By fgcook

•

Sep 1, 2017

理解更深了一层，很好

By Richard S

•

Aug 24, 2017

Excellent!

By Wei W

•

Aug 23, 2017

very good.

By Hoa N

•

Aug 23, 2017

Thank you!

By Umar R

•

Nov 3, 2024

Very good

By Hossein A

•

Jan 27, 2024

wonderful

By rubin w

•

Aug 25, 2023

very good

By Michael R

•

Aug 7, 2023

excellent

By Shreejan S

•

Jun 23, 2022

The best.

By abdelwahhab k

•

Jun 10, 2022

WONDERFUL

By nguyễn v l

•

Apr 15, 2022

very good

By Nam N H

•

Jan 21, 2022

Very good