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

4.9
stars
63,479 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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6001 - 6025 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Yash R

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Apr 12, 2018

mast

By Mayur V

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Apr 8, 2018

dope

By Lie C

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Feb 28, 2018

nice

By 铜 高

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Jan 24, 2018

Cool

By Hao H

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Jan 7, 2018

nice

By Leo D

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Jan 6, 2018

good

By skyfacon

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Dec 6, 2017

nice

By Duoxiao C

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Nov 16, 2017

good

By Seungsoo L

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Nov 9, 2017

good

By 李少辉

•

Nov 2, 2017

收获良多

By Цхондия Г А

•

Oct 5, 2017

cool

By bo

•

Sep 18, 2017

感谢NG

By 马明

•

Sep 18, 2017

good

By GAOBO C

•

Sep 15, 2017

Good

By TianPing

•

Aug 24, 2017

很不错！

By Xiangning C

•

Aug 16, 2017

比较简单

By Estate L

•

Oct 16, 2020

You

By Kouassi K J M

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Apr 30, 2020

bon

By 樊睡懒觉

•

Apr 15, 2020

非常好

By 华卓隽

•

May 9, 2019

666

By Carlos S

•

Dec 16, 2018

Ok.

By Kaustubh D

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Oct 4, 2018

Wow

By str0e

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Sep 7, 2018

ok!

By Matteo I

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Aug 25, 2018

wow