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
星
63,507 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

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

DH

Apr 26, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

筛选依据：

3401 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3425 个评论（共 7,286 个）

创建者 Pamin R

•

Nov 10, 2017

Provide a well intuition of the optimization methods

创建者 Ekaterina T

•

Nov 8, 2017

Very good for people with some background in Python!

创建者 Michael M

•

Oct 29, 2017

Explanation of basic principals beyond excellent !!!

创建者 Andres R

•

Oct 25, 2017

Very interesting topics to extend NN from course one

创建者 Pedro

•

Sep 28, 2017

Very practical approach to improve learning results.

创建者 mahmoud a

•

Sep 15, 2017

great start for any beginner to take his first steps

创建者 David W

•

Sep 7, 2017

Much deeper into the learning! Great! Thanks a lot!

创建者 PeiDa K

•

Aug 29, 2017

Well put-together. The discussion forum is helpful.

创建者 Lê B Q T

•

Oct 25, 2023

I think we should go more details about hypertuning

创建者 Shivam S

•

Sep 24, 2021

good course to understand Improving Neural Networks

创建者 JUAN P R U

•

May 11, 2021

Excelente curso, muy agradecido por el aprendizaje.

创建者 Shubham R

•

Feb 27, 2021

Great Course. Learnt a Lot. Learnt tensorflow also.

创建者 Enuganti P K

•

Dec 9, 2020

Great course with intuitive and timely explanations

创建者 Isuru C

•

Nov 8, 2020

Best ever course in the world to learn deeplearning

创建者 Md. A A M

•

Sep 19, 2020

As expected from Mr. Andrew Ng. Highly recommended.

创建者 Satabdi G

•

Aug 16, 2020

It's an awesome course. I enjoyed very minute of it

创建者 Thangamari

•

Aug 4, 2020

Its very very nice course..creative thinking course

创建者 MH R

•

Jul 26, 2020

This course is amazing and Andrew Ng is the best...

创建者 ritwik b

•

Jul 13, 2020

Challenging , yet super rewarding. Really Loved it,

创建者 Thejus H R

•

May 18, 2020

Really, really useful. Incredibly well done course!

创建者 K A N R

•

May 10, 2020

Very Good course and it useful for all the learners

创建者 Mohamed B

•

Apr 29, 2020

Thank you for your course and your pedagogic skills

创建者 Dr. F R M

•

Apr 15, 2020

Fantastic !

Gaining confidence course after course.

创建者 Jeffrey B

•

Mar 27, 2020

Another great course! Can't wait for the next one!

创建者 Rehan S

•

Dec 28, 2019

Very informative and well organized for all levels.