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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
63,482 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 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

NC

Jun 3, 2018

Just as great as the previous course. I feel like I have a much better chance at figuring out what to do to improve the performance of a neural network and TensorFlow makes much more sense to me now.

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6026 - 6050 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 莫毅啸

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Jun 23, 2018

ths

By 黄家鸿

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Jun 12, 2018

非常好

By 杨恺

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Feb 4, 2018

不错的

By 乾浩 姚

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Jan 14, 2018

非常好

By jinntaoo

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Sep 5, 2017

OK.

By Aditya J

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Nov 20, 2024

ok

By ARTURO R G

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May 25, 2020

:)

By 罗丽莹

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Apr 10, 2020

很棒

By 王攀成

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Mar 18, 2020

很棒

By Juncheol Y

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Feb 15, 2020

^^

By Ming G

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Aug 25, 2019

gj

By liangsheng

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Jul 22, 2019

很好

By Hiroaki K

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Apr 24, 2019

最高

By I l N

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Apr 9, 2019

超棒

By Cruel

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Mar 16, 2019

ok

By 侯宇翔

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Dec 12, 2018

牛！

By Pham X V

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Nov 6, 2018

:

)

By Bilal M

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Dec 11, 2017

:)

By MohammadSadegh Z

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Jun 15, 2021

By ???

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May 8, 2021

-

By eduardo e

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Jul 6, 2020

d

By Vinish R

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May 27, 2020

g

By Yuanfang S

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Jun 9, 2019

-

By Sarah Z

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Nov 7, 2018

V

By 张帆

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Aug 26, 2018

贵