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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

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1626 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1650 个评论(共 7,283 个)

创建者 Anirban C

Jun 8, 2018

This was great learning, made the foundations to deep dive into the AI prog frameworks and execute real life projects.

创建者 Mohamed F

Sep 25, 2021

Awesome journey Thanks a lot for this course I wish we could focus some more in Tensor flow but it was good as it is

创建者 wh1994

Apr 11, 2021

Thank too much for the deeplearning.ai, it is really helpful to anyone to learn deep learning! And I will go feather!

创建者 Sarah A

Mar 15, 2021

Easily understandable. The lecture delivering method is very nice. The codes of labs were also very nicely explained.

创建者 Iftikhar A

Dec 9, 2020

The concepts are explained very clearly and are specified to the outcomes. Thank you, sir, for this wonderful course.

创建者 Ankush N

Jul 8, 2020

I had a tough time doing the tensor flow assignment.

But overall, it gave me a good understanding of the fundamentals.

创建者 IT-092-Deep M P

Jun 29, 2020

The course content is in very deep and practical. The learning content is easy to understand. Thanks to all teachers.

创建者 Vaibhav W

May 18, 2020

Thank you Sir for providing such valuable material.and thank you once again for providing me course in financial aid.

创建者 Carlos G Y

Apr 5, 2020

A very interesting introduction to hyperparameter optimization, as well as other important topics such as frameworks.

创建者 Guissous A E

Dec 1, 2019

It was a great learning period with a high quality content, I learned a lot. thank you andrew and thank you coursera.

创建者 Sahan P

Nov 24, 2019

Great Content. And Great Programming Assignments to Practice All the Things Taught in the Slides.

Thank you Andrew NG.

创建者 Rúben G

Oct 12, 2019

This course helped me to understand better the concept of Overfitting and the behavior of Neural Networks in general.

创建者 Alexander L

May 15, 2019

I think this course is very useful for the beginners understanding the basic and important concepts of deep learning.

创建者 Daniel G

Nov 27, 2018

Genau so gut wie der 1 Kurs dieser Reihe. Ich bin sehr überzeugt von dieser Möglichkeit sich neuen Wissen anzueignen.

创建者 Enzo D

Mar 12, 2018

Nice trick for improving DL performance, even if really hoped that there's a really way to find the best parameters..

创建者 aditya r

Mar 11, 2018

Very good course with proper explanation of Hyper parameter tuning, Regularization and Optimization

of deep learning

创建者 SHREYAS M

Dec 27, 2017

Excellent material presented very eloquently. However, it would have been nice if more focus was laid on TensorFlow .

创建者 Daniel C

Nov 19, 2017

Loved it... Wish they'd include the up front data gathering as part of the lessons though instead of pre-made inputs.

创建者 Nilesh I

Nov 10, 2017

Amazing course. The course teaches how to optimize the hyperparameters etc. and also teaches TensorFlow on a project.

创建者 Abhik B

Sep 23, 2017

good course , best part is to go deeper into the RMSprop, Adam and momentum based Optimizations along with SGD and GD

创建者 h_st

Aug 1, 2021

I liked the profound and deep explanation of the underlying maths and the procedure of neuronal networks very much.

创建者 Carlos D N L

Aug 18, 2020

This course helped me to understand more about the optimization algorithms used in Deep Learning. Widely recommended

创建者 KirAN J

Jul 27, 2020

This course is extremely informative on building a better neural network and it gives basic knowledge on tensorflow.

创建者 Rupanjan N

Jun 20, 2020

Excellent explanation and guidance.

Please incorporate the corrections in the video directly and reupload if possible