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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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1551 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1575 个评论(共 7,283 个)

创建者 Talha K

Jul 24, 2020

As always, deeplearning.ai and Andrew Ng had prepared an amazing course. I am aiming to get all the courses they published.

创建者 Gilad R

Aug 10, 2019

Excellent simple but comprehensive explanations. Structured progress, with just the right duration for lectures. Thank you.

创建者 Shuang G

Aug 7, 2019

Very good, I learnt how to optimize forward and backward propagation. I learnt how to use tensor flow. Thank you very much.

创建者 Mustafa K

May 22, 2019

A great course, although I had most of this material in the university but it was very fun to learn from anothr perspective

创建者 Varun P

Apr 5, 2019

Dr. Ng's courses are among the best I've seen on the web. Simple, precise, clear, easy to understand and easy to implement.

创建者 Daniel

Dec 16, 2017

Very simple explanation of complex ideas. Cleared up a lot of my confusion about tensor flow. Really recommend this course.

创建者 Jacob T

Nov 29, 2017

An extremely valuable course to take learners from blindly creating neural networks to efficiently creating neural networks

创建者 Jian Z

Oct 8, 2017

Very great. But the programming part of lesson 3 has nothing related to the first part of Week3, only the tensorflow's part

创建者 Hsin-Fang H

Aug 22, 2017

The lectures are very clear and nice. The quiz and assignments are also very well designed to guid you through all details.

创建者 George S

Jan 4, 2025

Awesome course from Dr Andrew Ng. By far one of the best materials out there on neural network parameters and their tuning

创建者 Nishant G

Sep 11, 2020

the course was giving miniature details about how to tune your NN to improve its efficiency. Too many things and was good.

创建者 Diego A C R

Aug 23, 2020

Muy bueno, solo falta que un humano arregle los subtitulos en español. Pero de cualquier forma gran curso, muy recomendado

创建者 ANIKET A G

Jul 17, 2020

The course is very informative and a clear mathematical understanding of neural network optimization concepts is provided.

创建者 swaraj p

Jul 14, 2020

really cool course, i think after doing this i can read up more on the concepts and will be able to understand them easily

创建者 Vico L Z Y

Jul 22, 2019

Great aside from the Tensor Flow section which is a bit rushed but there is a specialization on TensorFlow so all is good!

创建者 Ozioma N

May 22, 2019

This is more than a course, its a companion, Andrew Ng is unarguably one of the best knowledge distributor in the world!!!

创建者 Younes Z

Apr 8, 2019

though i was experienced in Deep learning, I learned a lot of new things and specially intuitions to tune a neural network

创建者 Asaduddin A Z

Apr 4, 2019

I think this section is a great tips and trick that related to deep learning. How to make your model awesome. and awesome.

创建者 Prasanna K

Nov 25, 2017

Awesome course. Videos, Notes and Assignments really solves the purpose. Looking forward to do more courses from the team.

创建者 David P

Sep 23, 2017

Really nice to see tips and tricks of tuning deep neural networks covered at this level of depth. Really useful material!

创建者 Abie B

Sep 8, 2017

Lots of little tricks that you will think of afterwards as things that you would have thought of yourself, but never do...

创建者 Tran Q L

Aug 25, 2021

This course enabled be to a new area of neural network in an approachable manner. I really like Andrew Ng's instructions.

创建者 Muhammad I

Apr 20, 2021

Andrew Ng surely my favorite person when it comes to learn about ML because his explanation is detailed and soft approach

创建者 Akhilesh G

Mar 3, 2021

Great course which clears out several concepts regarding the internal working of deep learning and hyperparameter tuning.

创建者 Victor D

Sep 11, 2020

This was a very enlightening course. I learned a lot and the content is quite more complex than expected. Just excellent.