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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
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

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

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

筛选依据:

2126 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2150 个评论(共 7,283 个)

创建者 George

Jan 26, 2020

the course was very intuitive, even for some who didnt have any robust computational algebra

创建者 Yini Y

Jan 19, 2020

A lot of details and instructions are provide in this course. The practices are super helpful

创建者 David S

Oct 10, 2019

Andrew NG is one of the best teachers I'll ever had. He convert difficult things to easy ones

创建者 Ismael B

Jul 7, 2019

great instructor, great course content. Would recommend to anyone looking into deep learning!

创建者 Matt L

Nov 18, 2018

Enough detail to get an in-depth exposure, but very doable assignments with a lot of support.

创建者 Edgar O

Sep 4, 2018

Great course and probably the most useful as limited free materials exist online. Thank you !

创建者 Shruti B

Jul 22, 2018

The course was pretty useful in providing overall insight about improving DNNs. Great course!

创建者 Sajin P

Jul 4, 2018

Excellent course content to learn parameters tuning and speeding up deep learning algorithms!

创建者 mindfulness i

Jul 2, 2018

Thank you !! This course provides very useful info for data science newbies. Much appreciated

创建者 Md Z S

Jun 30, 2018

A great experience while learning. Intuitive way of teaching maths behind the codes. Love it.

创建者 Vismay A

Dec 2, 2017

Too much informative course. Complex concepts are formulated such that they are easy to learn

创建者 Wei Z

Oct 15, 2017

I would like to see more contents like GAN or reinforcement learning. That would be so doped!

创建者 Xiaorui Z

Sep 9, 2017

谢谢Andrew!这门课太精彩了!他不仅系统性地带领我们理解深度学习理论,也帮助我们在编程上不再害怕,这对我的帮助实在太大。我觉得课程组可以提供一些不错的参考资料和文档的话,那就更好了。

创建者 zahed

Nov 12, 2022

Honestly, The best course that covered all topics related to tuning is this course.

Thank you

创建者 Kimo J

Apr 17, 2022

Great explanations of many of the practical details that arise when optimizing neural nets.

创建者 Ayman M H

Feb 17, 2022

Great Content and a great constructor, can't wait to complete the rest of the specilization.

创建者 Anh V T

Aug 11, 2021

Really help on systematic view on optimization and tunning the deep neural network algorithm

创建者 John J M

Sep 10, 2020

Excellent course that supplies not only the basics but the intuition behind the applications

创建者 Mcvean S

Jul 20, 2020

Such an amazing teacher to learn from and an amazing course with a lot of helpful resources!

创建者 Eve L

Jul 18, 2020

Very good teaching. Would be great if the Tensorflow homeworks could upgrade to Tensorflow 2

创建者 Devvrat P

Jul 8, 2020

Awesome and in-depth knowledge by Andrew. I bet he is an awesome mentor. Thank you Andrew :)

创建者 Jiawei H

Jun 22, 2020

Introducing some deeper knowledge about the DL framework, like hyperparameter tuning and BN.

创建者 Atilio T

Jun 4, 2020

Excellent course. For understanding the essential concepts of tuning a deep learning project

创建者 Bryon H

May 3, 2020

Very good information on the different optimizers and strategies for hyper-parameter tuning.

创建者 Jiaqi d

Apr 19, 2020

Really helpful to get a general idea of how to tune the hyperparameter! Very clear teaching!