Chevron Left
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

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

筛选依据:

2076 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2100 个评论(共 7,283 个)

创建者 Lu X

Aug 15, 2021

Thank you Prof. Andrew Ng! I felt pretty enjoyable during the process of learning this course!

创建者 Javier E

Apr 25, 2020

i relly love this courses, this are so well designed for learning. just like in a university!!!

创建者 Aman D

Apr 20, 2020

This was such an awesome course. I did have learnt lot about deep learning through this course.

创建者 Karthikeyan T P

Dec 2, 2019

Excellent course on hyperparameter tuning, regularization and optimization. Highly recommended.

创建者 Sergii G

Nov 19, 2019

Fast and clear course. Has a lot of small exercises that are very handy for your own algorithms

创建者 Abdelrahman A

Jul 20, 2019

Thanks a lot Professor Andrew you're such a great man. The course/specialization is terrific <3

创建者 Akshaya P K

Apr 22, 2019

Fantastic course. Sply the codes and the way they have been thoughtfully structured. Brilliant!

创建者 Pradeep I

Mar 3, 2019

What learned during the course was building the self confidence in the subject area really lot.

创建者 Muhammad A

Jan 13, 2019

Well balanced syllabus. covering the intuitive part as well as the procedure of implementation.

创建者 dsp

Dec 30, 2018

Nice overview of different steps for improvement. Very accessible introduction into TensorFlow.

创建者 Muhammad H A

Nov 18, 2018

The best course for the understanding of basic to advanced learning of neural network training.

创建者 Soheil Z

Nov 8, 2018

It is the best course for Deep learning on the internet., which is taught by best teacher ever.

创建者 Sreekanth J

Oct 25, 2018

Excellent Material & approach. Gained a lot of insight on how to make the model perform better.

创建者 khaled a

Sep 20, 2018

thanks for this course again it was informative and thanks coursera again for the financial aid

创建者 Deboshmita G

Sep 7, 2018

Provides thorough and optimal understanding of different knobs and switches that guide Deep NN.

创建者 Thomas W

Apr 14, 2018

Nice course, learnt a lot with no impediments. Quality of tuition and assessments is excellent.

创建者 Jussi V

Feb 18, 2018

Very good content, this course #2 essentially complements the basic sep NN content of course 2.

创建者 Nitesh U

Jan 31, 2018

Amazing course. Especially for beginners. Assignments particularly are great help for learning.

创建者 A.Bashar E

Oct 15, 2017

Great work easy to understood and to work with. Thanks for Prof Andrew Ng and Coursera as well.

创建者 Qin W

Sep 10, 2017

l love this course coz it give us some useful tips and tools we can use to improve our project.

创建者 Diego S

Sep 7, 2017

Amazing Experience! Andrew Ng and yout team are awesome! Please! Keep going with this courses!!

创建者 Ambrish K

Jan 21, 2022

Nice explanation by Andrew sir. Programming assignments are helpful for clearing the concepts.

创建者 James R

Oct 1, 2021

Very good overview and helpful programming exercises to put into practice theoretical concepts

创建者 Patrick M

Jun 17, 2021

This course is yet another outstanding addition to the overall specialization. Outstanding!!

创建者 Niels P

Jun 16, 2021

The jump from vector/matrix to tensor could be explained a little more. Otherwise good course.