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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：

4326 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4350 个评论（共 7,283 个）

创建者 Sreejith S

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Oct 2, 2017

Nice course. Thanks Anderw!

创建者 Kunkyu L

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Sep 6, 2017

Good to tune hyperparameters

创建者 XUAN T P

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Sep 4, 2017

As great as the first course

创建者 Yunxiang L

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Sep 3, 2017

给我带来了很大的提高，对于深度学习的理解更加透彻，感谢！

创建者 Clarence W

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Sep 2, 2017

该系列课程的第二部分，对神经网络超参的讲解，非常有价值！

创建者 FEI Z

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Aug 31, 2017

Great course as the 1st one!

创建者 zios s

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Aug 23, 2017

awesome Course

Great teacher

创建者 Yonah M

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Jan 17, 2022

I had a great time learning

创建者 Ba L

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Oct 2, 2021

Prof.Andrew NG is the best!

创建者 Arya

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Sep 11, 2021

Brilliant course. Loved it!

创建者 Hoang D

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Aug 30, 2021

So really helpful and great

创建者 Luke L

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Jul 21, 2021

Great, I have learnt a lot!

创建者 Rodrigo N S

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Feb 2, 2021

Terrific. Highly recommend.

创建者 sujit s

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Jan 30, 2021

The course well structured.

创建者 Efrad G

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Nov 24, 2020

GOOD PROGRAMMING ASSIGNMENT

创建者 Taranov G

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Oct 20, 2020

Good course with nice labs.

创建者 ANMOL J

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Jul 19, 2020

Amazing ! and Insightful !

创建者 denglh

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Jun 18, 2020

Thanks for the nice course!

创建者 Hemant Y

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Jun 11, 2020

Very engaging and practical

创建者 ABHISHEK S T 1

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Jun 10, 2020

Its really very nice course

创建者 Hassan A

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Jun 3, 2020

The course was very helpful

创建者 Shrinivas D D

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May 7, 2020

Very informative and useful

创建者 陈禹男

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Apr 22, 2020

wonderful,I like the course

创建者 Nick M

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Apr 1, 2020

really clear and well paced

创建者 Dina T E H

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Mar 18, 2020

Thanks for this opportunity