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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,507 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

RR

Jun 12, 2020

Could have increased assignments and some more indepth knowledge of tensorflow and proper installation way of tensorflow cause mine is showing error when iam trying to practice as shown in the video

DH

Apr 26, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

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5301 - 5325 of 7,286 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Illia K

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May 17, 2019

very useful!

By 郑笙桦

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Apr 14, 2019

Means a lot.

By Haoqiu W

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Mar 31, 2019

nice teacher

By Anchal S

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Mar 17, 2019

Geate Course

By Almir I

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Mar 9, 2019

Great course

By 任华琛

•

Feb 1, 2019

very helpful

By Deleted A

•

Jan 27, 2019

Great course

By RAMA R R

•

Jan 27, 2019

Great Course

By Kaiqiang W

•

Jan 26, 2019

Pretty Good！

By Shravan M

•

Jan 17, 2019

Thank You!!!

By David

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Jan 15, 2019

Very Useful!

By Lakshmi N S

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Jan 14, 2019

Nice course.

By Ahmed D

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Jan 13, 2019

very amusing

By Dhananjay O

•

Jan 8, 2019

great course

By To P H

•

Jan 1, 2019

Great course

By 洪天悦

•

Dec 24, 2018

Good content

By sag s

•

Dec 1, 2018

Just AWESOME

By T, K

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Nov 3, 2018

Nice Course!

By Yanxiang Y

•

Oct 26, 2018

Best course!

By Xu T

•

Oct 19, 2018

very useful.

By Udit S

•

Oct 9, 2018

Great course

By eralpozcan

•

Sep 23, 2018

Andrew Ng <3

By Wojciech P

•

Sep 11, 2018

Great course

By Dalai Y

•

Sep 7, 2018

Very useful!

By anupam b

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Aug 8, 2018

Good part 2!