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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

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:

2326 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2350 个评论(共 7,283 个)

创建者 Helder P

May 18, 2019

Awesome. It gives a lot insights for hoe to tune deep NN through an empirical process.

创建者 Jose M M B

Apr 7, 2019

Very usefull for adquiring metodology on tunning parameters of a deep learning network

创建者 Abhinay P

Mar 27, 2019

This is one the best courses. The use of Hyperparameters and tuning is best explained.

创建者 Fred K

Mar 18, 2019

Very clearly explained, covers the underpinnings of a lot of the most used algorithms.

创建者 yousuf o

Feb 17, 2019

I learned a lot from this course. Thank you so much for offering such thorough course.

创建者 Chad W L

Jan 24, 2019

very good. maybe a bit more of a deep dive than I was expecting, but great nonetheless

创建者 Aleksa G

Dec 21, 2018

Really cool mooc, learned new ML theory and had a chance to implement it from scratch!

创建者 Martha E T

Dec 9, 2018

Super practical and easy to learn. Great activities and quizzes. I love these courses!

创建者 Yulin C

Dec 2, 2018

It is good to cover many techniques with great details. I feel I learnt a lot from it!

创建者 honglianglv

Sep 16, 2018

very good course! It help me to know how to speed up training and tune hyperparameters

创建者 Dan L

Aug 2, 2018

Practical advice! One needs to dig into the project to find how useful this course is.

创建者 Celine H

Jun 7, 2018

Very good overview for nn optimization and hyperparameter tuning! Easy to follow along

创建者 Lidor A

May 1, 2018

Priceless advises and techniques! May thanks for Andrew and the rest of the TA team!!!

创建者 Carlos B

Apr 21, 2018

If you want understand the nuts associated with NN and Deep Learning.. this is for you

创建者 Salim L

Mar 16, 2018

The best consolidation to date of best practices to improve your Deep Learning models.

创建者 aditya g

Feb 16, 2018

Very nice explanation of applied deep learning concepts. Great work Andrew & Team...!!

创建者 Tamilarasu S

Jan 21, 2018

This course gives some of the important techniques to increase performance of a model.

创建者 Dhaval D

Nov 7, 2017

Amazing course and introduction to concepts specific to deep learning. Really like it.

创建者 Markus L

Oct 26, 2017

Excellent course, dives deep enough to get the insight whats happening with each knob.

创建者 clement G

Oct 6, 2017

Awesome, the GD optimization techniques and introduction to TF were imo the best part.

创建者 Evaldas B

Sep 27, 2017

Very good course to go depper in understanding deepm learning improovement techniques.

创建者 Arnab S

Sep 8, 2017

Very well designed course. Now I feel confident about various optimization algorithms.

创建者 Wu P

Aug 30, 2017

Very informative, I have finally understand ADAM, RMSprop after this course, thanks !!

创建者 ZHEN Z

Aug 29, 2017

The course is illuminating , but the assignment is too easy to consolidate knowledge.

创建者 Esa A

Feb 6, 2024

Very nice course. Upgrading the Tensorflow version might be helpful if not necessary.