Chevron Left
返回到 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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
星
63,492 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

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

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

筛选依据：

5051 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 5075 个评论（共 7,283 个）

创建者 Juan D

•

Nov 13, 2017

Excelente curso

创建者 Stoyan A

•

Nov 1, 2017

Great material.

创建者 刘竞博

•

Oct 29, 2017

could be useful

创建者 Rashid A

•

Oct 29, 2017

Awesome course!

创建者 Siddhartha J

•

Oct 27, 2017

Great course !!

创建者 jocundhang

•

Oct 15, 2017

对提高模型的正确率有很大的帮助

创建者 Ripunjoy G

•

Oct 10, 2017

Great teaching.

创建者 小林Andy

•

Oct 6, 2017

介绍了很多新的知识，非常有帮助

创建者 Limber

•

Sep 27, 2017

Really helpful.

创建者 Paddy M

•

Sep 17, 2017

Very practical.

创建者 Gowri S

•

Sep 9, 2017

Awesome Course.

创建者 Ce J

•

Sep 5, 2017

really helpful~

创建者 Xuan L

•

Aug 25, 2017

Great tutorial!

创建者 Zhi H

•

Aug 20, 2017

very practical!

创建者 Jia Y

•

Aug 14, 2017

Very good MOOC!

创建者 Randal E

•

Jul 7, 2023

knowledge good

创建者 Areeg F

•

Jan 17, 2023

awesomeeeeeeee

创建者 Arkan N

•

Sep 30, 2022

great course!

创建者 Yahya S A

•

Aug 18, 2022

Great course!

创建者 Abhishek S

•

Jul 27, 2022

Awesome course

创建者 Youness B

•

Aug 1, 2021

très important

创建者 Dr. K B P I

•

Jul 3, 2021

Great Learning

创建者 Giang P T

•

Apr 27, 2021

Awesome course

创建者 Jose R C V

•

Apr 3, 2021

It's excellent

创建者 preeti s

•

Mar 16, 2021

Great learning