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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

4.9
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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：

4351 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 4375 个评论（共 7,283 个）

创建者 Arjun g

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Sep 27, 2019

Great Course! Thanks Andrew

创建者 Le Y

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Sep 16, 2019

useful practical techniques

创建者 Eddy P

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May 15, 2019

really helpful tuning skils

创建者 Omar R L

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Jan 23, 2019

very useful and fondamental

创建者 Amir K

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Jan 17, 2019

To the point and effective!

创建者 Abhishek B

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Jan 16, 2019

Awesome Content and tutors!

创建者 Jonathan H

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Oct 11, 2018

Very practical and helpful!

创建者 Bogdan P

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Sep 24, 2018

The course was very helpful

创建者 Dengrong J

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Sep 10, 2018

Very practical and helpful.

创建者 Tiequan L

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Jul 18, 2018

Great. Effeicient teaching.

创建者 Clark C

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May 18, 2018

It's a great course on DNN.

创建者 Mirzodaler M

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Apr 15, 2018

Very useful course. Thanks!

创建者 Shiwei T

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Apr 14, 2018

非常棒的课程，推荐所有准备入门深度学习的同学来进行学习

创建者 BD2020

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Mar 3, 2018

Thank you, Prof. Andrew Ng!

创建者 Jimmy

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Jan 21, 2018

Andrew Ng is still a legend

创建者 Deepak K S

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Dec 24, 2017

Great Course. I enjoyed it!

创建者 Tian Z

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Dec 8, 2017

Very inspiring and helpful!

创建者 Pranay C

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Dec 3, 2017

Very intuitive explanations

创建者 童宇青

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Nov 21, 2017

This course is very great!.

创建者 Chiayu L

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Nov 11, 2017

great lecture. Many thanks!

创建者 Alex Y

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Oct 7, 2017

Andrew is great, as always!

创建者 Daniel G

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Sep 28, 2017

Excellent learning resource

创建者 Prasenjit P

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Sep 27, 2017

Superb!! thanks Andrew Ng!!

创建者 Jun W

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Sep 19, 2017

Still the best of the best!

创建者 Nir D

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Sep 19, 2017

Very clear and interesting!