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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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63,493 个评分

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

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

AM

Oct 8, 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

筛选依据：

3901 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3925 个评论（共 7,283 个）

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 Chiang Y

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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 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

创建者 Abhishek K

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Jan 19, 2021

Awesome Course... Best on the planet.

创建者 Chang X

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Oct 25, 2020

enjoyed the course. highly recommend.