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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
63,493 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:

2876 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2900 个评论(共 7,283 个)

创建者 邓蓬月

Sep 13, 2020

This courser is very good for someone who learn the neural network.

创建者 Mazhar A

Sep 3, 2020

Excellent Course for deep learning and neural network optimization.

创建者 Ari W R

Aug 23, 2020

that is cool material for me talk about part of basic deep learning

创建者 Daan v d M

Jul 12, 2020

Excellent content. Great insights in the working of a deep network.

创建者 Elias A

May 27, 2020

Always the best material from Prof. Ng. I can't recommend it enough

创建者 Siddam M S

Apr 19, 2020

It's a quite good course. I boost me after each and every tutorial.

创建者 waleed h

Feb 12, 2020

I was a great learning experience thanks team and specially Andrew

创建者 BHAVESH S

Dec 28, 2019

Learned a lot about the neural networks and optimization techniques

创建者 janaki r

Dec 2, 2019

Keep Educating

Thank You for giving me a chance to enroll the course

创建者 Srikanth S

Nov 25, 2019

Would be 6 stars if he talked about neural architecture search too!

创建者 Apperson H J

Aug 15, 2019

A great deal of practical advice and methodology. Great Lectures.

创建者 Dittaya W

Aug 5, 2019

I got some guidelines to start tuning parameters on my own network.

创建者 Tian Q

Nov 15, 2018

Very helpful course for starter in machine learning and Tensorflow!

创建者 Arjun B

Nov 10, 2018

The best course on hyperparameters with every detail well explained

创建者 Henry G W V

Oct 28, 2018

Some of the numbers in the programming assignments are out of date.

创建者 Daniel A

Sep 19, 2018

Full of useful content and really well explained. Thank you Andrew.

创建者 Qiuyi P

Aug 20, 2018

Great course! Learned tons of things about how to improve ML models

创建者 Ljubisa M

Jul 27, 2018

Very good explanation on possible problems and how to address them.

创建者 Rajeev S M

Apr 24, 2018

Really helpful, especially concepts of Transfer/Multi-task learning

创建者 Chuong N

Mar 27, 2018

Very good tips and systematic way to tune and diagnose your network

创建者 Adnan B

Jan 19, 2018

Great tips as well as insights about how to training better models.

创建者 willie “ ”

Nov 27, 2017

Super awesome lectures and homework material. I learned sooo much.

创建者 Krishnaprasad B

Nov 1, 2017

As usual , great content and intuitive explanations. Thanks Dr.Ng !

创建者 Jingyu C

Oct 31, 2017

The housework is very helpful in understanding the lecture content.

创建者 Harshavardhanan B V

Oct 22, 2017

Concept explanation is very good and complex topics are dealt well.