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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
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

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

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:

1801 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1825 个评论(共 7,283 个)

创建者 Prithvi B

Aug 18, 2020

There is not a better course on Machine Learning then these series. Great work. Concept wise just excellent.

创建者 Ruben G

Jul 23, 2020

This course is very well structured so one learns a great deal and in a natural way. Andrew Ng did it again!

创建者 Kaushal K

Jul 5, 2020

It's pretty detailed with a near perfect balance of depth and breadth. Quite learning-friendly explanations.

创建者 Zhe W

Mar 30, 2020

Very detailed so it is not hard to follow. Professor really put his heart and effort on this course. Thanks!

创建者 Richard C

Jan 16, 2020

Excellent course to share all experiences on optimizating the Hyperparameters and regularization of Deep NN.

创建者 Jeffry S

Sep 22, 2019

Another great course for deep learning. The assignments are really great especially the intro to Tensorflow.

创建者 Abhishek A

Jul 23, 2019

course has given me deep insights in deep learning which is not possible to get from any other online course

创建者 Mohamadreza Z

Apr 14, 2019

That was AWSOME! It was really good and I'm pretty sure it would help me through my study and career!

Thanks!

创建者 Bhishma

Mar 31, 2019

Very useful concepts, and well designed quizes and programming exercises that helps understand the concepts.

创建者 Peter Y

Mar 18, 2018

This course taught me tuning hyperparameter technique and the NN framework such as Tensorflow. Thank Andrew.

创建者 Jun Z

Nov 7, 2017

Great explanation. It would be nice to include more details about the implementation of batch normalization.

创建者 Mark G

Dec 19, 2020

Important details on how to improve neural network learning. Good and understandable videos, and exercises.

创建者 Santiago H

Jun 25, 2020

Very well explained. I just miss the test questions at the end of each video lesson, as in the first course

创建者 Kersh T

Jun 10, 2020

This course is a practical guide to improving nn learning rates. Assignments were clear and easy to follow.

创建者 ISHIMWE J P

May 10, 2020

This specialization was super important.

I really appreciate for your endeavors for sharing this knowledge.

创建者 Yi L

Mar 12, 2020

Learned some new and useful methods in course2. Expecting more interesting things in the later study !!! :)

创建者 Ali A

Feb 10, 2020

The course need a little bit of focusing on intuitions rather than just the math, it's a good course though

创建者 Giuseppe R

Feb 3, 2019

Exceptional course: complete overwiew of basic concepts of Neural Network + good introduction to Tensorflow

创建者 Manawaduge D

Jan 26, 2019

Excellent resource for learning deep learning basics and techniques. Clear and intuitive instruction style.

创建者 Fernando G

Jan 19, 2019

Exceptional course! Very interesting and illustrative. Only problem I had was with the Tensorflow notebook.

创建者 Satyam N

Nov 13, 2018

Gives great detailed insights over parameters tuning and steps to improve the neural network performance.

创建者 Bence K

Sep 8, 2018

Amazing content, beautifully structured, easy to understand. Great introduction to the details of deep NNs.

创建者 Md H

Mar 7, 2018

If there would be an active community to help the students then it would make this program more successful.

创建者 Michael D

Mar 5, 2018

excellent treatment of a vital topic in deep learning. Andrew Ng's pragmatic approach was highly enjoyable

创建者 Jesús P

Feb 21, 2018

Wonderful course! Have a lot of tips to make an improvement in the implementation of a Deep Neural Network.