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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
63,492 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:

2101 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2125 个评论(共 7,283 个)

创建者 Jose B

Jan 11, 2021

Excellent course giving you good background on how to improve training of deep neural networks

创建者 Chen M

Dec 1, 2020

A basic course for this field, just an excellent course and covers a lot of topics, thank you!

创建者 Ankan D

May 10, 2020

The Video sound is quite low. But the content and assignments are very nice and well prepared.

创建者 Heidi V B

May 2, 2020

was very excited I understood finally TensorFlow's framework a little bit. Want to learn more.

创建者 manan m

Mar 17, 2020

It was an amazing course and a wonderful experience and i got to learn a lot from this course.

创建者 Jordi A C

Feb 18, 2020

Very nice and well-explained continuation to course 1. Very usefull tools to optimize results.

创建者 Anurag C

Dec 1, 2019

This course is very helpful for understanding the granular details of Deep Learning. Thank You

创建者 Horia V

Nov 11, 2019

excellent review of main techniques in training nns, really understood now some best practices

创建者 Jeffrey W

Nov 10, 2019

Good course

Some difficulty with programming assignments, because errors are difficult to debug

创建者 Mitra T

Sep 1, 2019

this is the best like the course 1 and I am realy eager to pass the rest of this specializtion

创建者 Takehiro M

Oct 7, 2018

I learned theory of essential technique to get good performance using Deep Learning.

Thank you!

创建者 Carlos F P

Aug 16, 2018

Excellent course that provides some under the hood details for running NN. Highly recommended!

创建者 Kartikeya P

May 24, 2018

Clearly explains optimization algorithms and techniques to improve neural network performance.

创建者 Gopal J

May 16, 2018

learnt how to tune neural network. Now I can say I have a good understanding of hyperparameter

创建者 Gianfrancesco A

Nov 17, 2017

Very good explanations about the basics of setting up a DNN and make it work in the right way!

创建者 Michael S L

Nov 10, 2017

Terrific. Well-paced, programming assignments are good balance of programming chops and math.

创建者 Max R

Oct 28, 2017

Great continuation from the first course - A deeper introduction to tensorflow would be useful

创建者 Alexey S

Oct 22, 2017

This is great class. I strongly recommend it to every newcomers in the field of Deep Learning.

创建者 James M

Oct 9, 2017

Some of the materials were very challenging and intriguing, and the course was well organized.

创建者 Jian W

Oct 15, 2022

this course teaches practical skills with clear notations and understandable math expressions

创建者 Francisco C

May 5, 2021

Un muy buen curso para entender a fondo los Hyperparametros de las redes neuronales profundas

创建者 Dinesh J

Apr 29, 2020

Thank you Andrew for making everything easily understandable, I appreciate your explanations.

创建者 MAYANK C

Apr 23, 2020

Andrew Ng explains the maths really well and that helps a lot when you start with Tensorflow.

创建者 Di C

Mar 20, 2020

Love the course! Definitely need more efforts in digesting the materials, but so far so good!

创建者 Bong M K

Mar 9, 2020

It's good change to me to learn hyperparameter tuning and deep neural networks understanding.