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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:

2276 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2300 个评论(共 7,283 个)

创建者 Suresh A

Sep 3, 2017

The way Dr Ng puts the match together makes deep learning look very easy. Great teacher.

创建者 Vincent L

Aug 31, 2017

Hands on and clear, this class will help to understand the more practical aspects of NN.

创建者 Christopher A

Oct 7, 2023

Very insightful. I got to understand how the libraries I call in my code actually work.

创建者 Abhinav T

Jan 3, 2021

Thanks for this wonderful journey dear Andrew Ng. Sir !

You are just wonderfully awesome

创建者 Angana M

Dec 17, 2020

Very extensive course. The programming exercises help a lot in learning and practicing.

创建者 Yuuki S

Nov 21, 2020

This course is very great and I can understand comprehensive technics of improving DNN.

创建者 Bai D

Nov 9, 2020

Beautifully explained. Although little less hand holding in assignments wouldn't hurt..

创建者 Fernando G M G

Oct 9, 2020

Great course. I love the final assigment. Ready for the next one in the specialization.

创建者 Manas C B

Aug 31, 2020

The usage of each optimizer is clear enough so that I can apply it without any library.

创建者 Antonio C L F J

Aug 13, 2020

Excellent course. Very well prepared to guide the apprentice in concepts and practices.

创建者 João L

Aug 4, 2020

Great explanation about Hyperparameter tunning and tensorflow presentation was stunning

创建者 Daniel A

Jul 13, 2020

On point approach to turn NN into customizable models for several use cases. Thank you!

创建者 rtester 0

Jun 22, 2020

wonderful contents, to the point descriptions, short but deep and thorough explanation.

创建者 Hetal K

Jun 14, 2020

Very important subject for deep neural network, thanks Andrew for excellent explanation

创建者 Ravindra K

May 25, 2020

The course tells us about how can we improve accuracy by taking care of hyperparameters

创建者 Gaurav S

Apr 12, 2020

very well conducted course. andrews helped me to understand the concepts pretty nicely

创建者 Sandipan D

Apr 12, 2020

Love intro to tf. But I still hope there was the keras way of doing these - as in tf2.0

创建者 Deepankar A

Mar 6, 2020

Really a very interesting course. Got me even more curious and involved into the topic.

创建者 Anurag S

Dec 26, 2019

Amazing course taught by amazing instructors. I feel hugely indebted to my instructors.

创建者 angelo f

Dec 11, 2019

This course was exponentially better and more informative than the previous. Thank you!

创建者 FABIYI O

Aug 19, 2019

Great course!!!

Really thorough with adequate examples to understand the concepts needed

创建者 Emre E

Aug 3, 2019

Simple breakdowns of hard concepts and building intuition from ground up. Great Course!

创建者 Afiq S

Feb 24, 2019

Though a little more complex for a Python beginner like me, I find it easy to follow :)

创建者 David A

Oct 15, 2018

Excellent information on improving networks. Real ground up understanding very helpful.

创建者 liupa

Mar 11, 2018

This course gives lots of useful method to improve NN in detail, and easy to understand