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学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈

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课程概述

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....

热门审阅

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

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.

筛选依据：

3901 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3925 个评论（共 7,286 个）

创建者 Oreste M

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Jun 2, 2020

Once again I could not stop learning !

创建者 Julien L

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Apr 23, 2020

Great content and very well explained.

创建者 Jia H O (

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Feb 8, 2020

Very in-depth explanations! Thank you!

创建者 Praveen P

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Jan 10, 2020

Easy to follow and very informational.

创建者 Krishanu B

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Oct 26, 2019

Beautiful course. Very much Satisfied.

创建者 Gilvandro F d M N

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Jan 28, 2019

great journey into deep learning world

创建者 Chenna G

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Nov 20, 2018

Excellent Course.. Andrew Ng is great.

创建者 Madhukar R

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Oct 9, 2018

Loved the introduction of tensor-flow.

创建者 S V R

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Sep 29, 2018

excellent set of videos and assignment

创建者 narendra s

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May 18, 2018

Great course for hyperparameter tuning

创建者 Prakalp S

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Mar 26, 2018

Very happy with Tensorflow assignment

创建者 Keshav M

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Mar 2, 2018

Andrew ng is the best professor online

创建者 江義淵

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Jan 13, 2018

Many practicle issues are very useful!

创建者 Sumandeep B

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Jan 1, 2018

lots of nice usefull insights to learn

创建者 Zhejian P

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Dec 27, 2017

Very Useful Content. Just right for me

创建者 William v

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Dec 3, 2017

I am enjoying the series tremendously.

创建者 Bernard D

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Nov 6, 2017

another great training from Andrew Ng!

创建者 Yan L

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Oct 24, 2017

Very helpful for adjusting my network.

创建者 Spandan M

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Sep 28, 2017

Great!! course . I highly recommend it

创建者 Divakant P

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Sep 24, 2017

Great Course, Respect for Andrew Sir !

创建者 John E B

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Sep 23, 2017

This was… fun, and really interesting!

创建者 Debesh S

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Sep 13, 2017

Super. I am happy to take this course.

创建者 Abbas H

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Jul 18, 2022

Greate Course. It's worth your time.

创建者 Rasheed M N M

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May 29, 2022

it is great and needs a determination

创建者 CS8B39 S P

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Apr 11, 2022

Explained everything quite intuitivly