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

4.9
stars
63,496 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

AM

Oct 9, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

RR

Jun 13, 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

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5426 - 5450 of 7,284 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Jingyi L

•

Oct 24, 2017

Like it. :)

By LiuGuotai

•

Oct 4, 2017

good lesson

By Sandeep M

•

Oct 1, 2017

Nice course

By 李少芃

•

Oct 1, 2017

Excellent !

By 张琪

•

Sep 15, 2017

老师讲的很细，受益很多

By Hamza A

•

Aug 21, 2017

Excellent !

By yining

•

Aug 20, 2017

outstanding

By 吴凡

•

Aug 16, 2017

very good!!

By Santiago M

•

Sep 29, 2024

Me encanto

By Gülşah K

•

Sep 21, 2024

wonderfull

By 1437_ANKIT T

•

Sep 13, 2023

Excellent!

By BISHWANATH J

•

Sep 5, 2023

Over Power

By Xiaolin W

•

Mar 24, 2023

Thank you!

By 赵毅

•

Dec 3, 2022

Thank you!

By Akomévègni S

•

Aug 3, 2022

Excellent

By 최정식

•

May 15, 2022

Thank you.

By 薛舒心

•

May 1, 2022

Thank you!

By 徐洁

•

May 1, 2022

Thank you!

By liubingxin

•

Apr 16, 2022

very well！

By Zelin W

•

Jan 20, 2022

Thank you!

By Qi S

•

Jan 19, 2022

Thank you!

By Chen

•

Jan 9, 2022

Thank you!

By Xin Y

•

Jan 1, 2022

Thank you!

By Shaofei Q

•

Nov 30, 2021

Thank you!

By Yi C

•

Oct 23, 2021

Thank you!