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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：

3601 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3625 个评论（共 7,283 个）

创建者 chanish a

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Jan 5, 2019

I never have enjoyed this much while studying.

创建者 Gautam E

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Jul 1, 2018

Nice to see a numpy vs tensor flow comparison!

创建者 田玉文

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Apr 14, 2018

I really like the lecture and enjoy the study.

创建者 Phu N

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Feb 20, 2018

Really good overview of tuning neural networks

创建者 Yaw O

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Nov 18, 2017

Wonderful!. Looking forward to the next course

创建者 Jon H

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Nov 6, 2017

great stuff and explanations and exercises !!!

创建者 孔燕斌

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Oct 18, 2017

great class, make deep learning more practical

创建者 Joel G

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Oct 1, 2017

Great pedagogy, making complexity look simple!

创建者 Pengju W

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Sep 19, 2017

It is a perfect course, which is easy to learn

创建者 RobinChan

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Sep 6, 2017

Very useful methods of deep learning practice.

创建者 Dax J

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Aug 30, 2017

great course, best one of this specialization.

创建者 Jochen R

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Aug 30, 2017

great course about optimization and tensorflow

创建者 郭鑫鹏

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Aug 21, 2017

profundity with an easy-to-understand approach

创建者 James P

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Mar 13, 2024

Excellent content and delivery from Andrew Ng

创建者 Tomohito S

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Aug 27, 2022

ハイパーパラメータの調整はまったくの手探りだったので、体系的な探り方を知って感激しました。

创建者 Zijian H

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Dec 11, 2021

Intense but straightforward. I learned a lot!

创建者 Md. A H

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Sep 4, 2020

This was a tough and enjoyable course for me.

创建者 Đạt Đ T

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Sep 2, 2020

This course is better than what i really want

创建者 Kai L

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Jul 16, 2020

A good course to learn hyperparameters tuning

创建者 Saeed A

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Jul 8, 2020

This is a great course and designed carefully

创建者 Babatunde O

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Jul 4, 2020

Interesting concept professionally delivered.

创建者 Akanksha M

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Jun 7, 2020

Concepts were very well and clearly explained

创建者 priyanka V

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May 10, 2020

Best course on tuning the network parameters.

创建者 Volk U

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May 7, 2020

Great instructor and easy to follow lectures.

创建者 Prashant J

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Apr 6, 2020

A great course full of tips to tune DL Model.