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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
63,489 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

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

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:

1526 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1550 个评论(共 7,283 个)

创建者 Prosenjit D

Dec 5, 2019

Very good course, helps develop actual concepts by implementing a deep neural net just in python and not using any framework.

创建者 Ankit K S

Nov 30, 2019

Wonderful explanation of optimization algorithms, hyper-parameter tuning and regularization.

Great introduction to TensorFlow.

创建者 胡青翘

Jul 10, 2019

I hope you guys could improve the hardness of the programming assignments. They seem to be a little easy compared to quizzes.

创建者 sudheer n

Jun 16, 2019

As usual, Andrew Ng has explained the concepts in the simplest way possible. A little work outside the course can help a lot.

创建者 Arpit J

Dec 16, 2018

This course gives a thorough intuition about the hyperparameters and how to regularise them. Brilliant work by Andrew Ng sir.

创建者 Mahesh

Sep 16, 2018

Appreciate the course videos. They dont demand prior knowledge of machine learning.

The assignments gives hands on experience.

创建者 Shravankumar S

Jun 29, 2018

I loved this course. Assignments played a very important role in my learning, as i learned a lot by getting my hands dirty :)

创建者 Xiaoyuan C

Oct 28, 2017

The greatest course I have ever taken! So grateful to Andrew and your team to make the studying so interesting and rewarding!

创建者 Bilel B

Feb 5, 2021

De nombreuses techniques très utiles pour accélérer l'apprentissage de son réseau de neurones et éviter le sur-apprentissage

创建者 Prem O

Oct 24, 2020

The course helped me get a better understanding of different optimizers and how to handle the hyperparameter tuning process.

创建者 Pedro V

Jun 5, 2020

this course is very good to introduce you to concepts such as hyperparameters optimization and frameworks such as Tensorflow

创建者 Vimal P S

May 15, 2020

Thanks Andrew Sir for creating such a good content and I hope that this would help me in my voyage along the massive AI sea.

创建者 Marc M

Apr 29, 2020

Muy buena y muy útil la practica esta bien aunque creo que lo de tensorflow es muy útil y quizás debería tener más presencia

创建者 Augusto R

Apr 4, 2019

Thanks to this course I will now be able to improve the performance of my neural network in a more efficient way. I loved it

创建者 James G

Jan 12, 2019

The focus on building "intuitions" behind the math has been a refreshing approach to learning material like this. Thank you!

创建者 YiXiang Z

Dec 31, 2018

Very good introductory material on regularization and optimization. Also introduction to tensorflow as frameworks is spot-on

创建者 Pedro H

Dec 6, 2018

Great follow up course in this specialization, which introduces critical concepts to improve and design your neural network.

创建者 Khoo T S

Nov 14, 2018

Great course. I've learnt a lot on hyperparameter tuning and optimization strategies. The Tensorflow makes coding simpler :)

创建者 Colin F

Jun 25, 2018

Andrew does an amazing job of explaining the intricate level of math in a subtle manner. It is a must for advanced learners.

创建者 Pier L L

Dec 31, 2017

Good course with excellent rules of thumb and principles to improve your DL performance and your parameter tuning procedure.

创建者 Ye W

Nov 2, 2017

Andrew did a great job in explaining the intuition behind optimization algorithms such as SGD, SGD with momentum, Adam, etc.

创建者 David F

Oct 5, 2017

Good pace, thoughtful video instruction, and helpful assignments. Even without a CS background, the concepts were very clear

创建者 Kazutoshi S

Oct 3, 2017

I think there are some typos in assignments but this is the most useful course for learning Tensorflow modules on the earth.

创建者 Harshit S

Dec 10, 2020

It really helped to brush up my deep learning concepts and I always enjoy learning from Andrew's lectures.Thanks Coursera!!

创建者 Learner

Sep 21, 2020

Very good and learning from scratch is very exciting to work on. Thanks Andrew and team for this wonderful course materials