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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

RR

Jun 12, 2020

Could have increased assignments and some more indepth knowledge of tensorflow and proper installation way of tensorflow cause mine is showing error when iam trying to practice as shown in the video

筛选依据:

3326 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3350 个评论(共 7,283 个)

创建者 makthum s

Jul 30, 2018

One of Tough and interesting course in specialization!

创建者 METHUKU P

Jul 6, 2018

Very good one but frameworks part is little bit clumsy

创建者 Philipp K

Apr 30, 2018

I have learned so much of of this course. Keep it up!!

创建者 Debasish G

Apr 7, 2018

Full of practical advice. Great course - very helpful.

创建者 Rui X

Mar 18, 2018

The expected output is wrong in last week's assignment

创建者 Ruslan N

Feb 6, 2018

Great course and finally an introduction to Tensorflow

创建者 Khalid H

Oct 4, 2017

great to know such details for tuning hyperparameters!

创建者 Allen S

Oct 4, 2017

Great information building on class one in the series.

创建者 Bao P

Sep 30, 2023

Greate course for learning about deep neural networks

创建者 Zixuan W

Nov 1, 2021

May be better to bring more detail about DL framework

创建者 Spiritual S

Oct 19, 2021

Very interesting material with impactful presentation

创建者 林柏嘉

Sep 27, 2021

Really clear and in-depth concept about Deep Learning

创建者 Parth K

Apr 7, 2021

Thanks to Andrew Sir and all the Deep Learning Hero's

创建者 PAWAN B

Dec 13, 2020

Really Greatway of teaching concepts by Lab Sessions.

创建者 Bilal D

Dec 13, 2020

good course.

but same quiz shouldn't repeat each time.

创建者 Yun D T

Aug 16, 2020

Awesome course! Step by step and very easy to follow.

创建者 Alicia L

Jul 16, 2020

Bastante ameno y muy adecuado para empezar proyectos.

创建者 Ankita G

Jun 22, 2020

The course is designed very well. Enjoyed learning!!!

创建者 Milind Y

Apr 12, 2020

Amazing course. Great job by instructors and Mentors.

创建者 Vipul T

May 21, 2019

Excellent. However more exercises should be included.

创建者 Aishwarya R

Mar 19, 2019

deeplearning.ai courses are worth the time and effort

创建者 王新越

Jan 29, 2019

The course is useful for me ,and I have learned much.

创建者 David P

Oct 31, 2018

Gained a good understanding about the regularization.

创建者 Fernando E L M

Oct 17, 2018

Excellent training, easy to follow material and labs.

创建者 Muhammad R M

Oct 9, 2018

This course is a little tough but Its really worth it