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：

3776 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3800 个评论（共 7,286 个）

创建者 BRABEEM S

•

Jul 23, 2021

amazing

i hated the tensorflow part though

创建者 Moiz A S

•

Apr 8, 2021

Perfect and Detailed. Andrew is the best!

创建者 Patrik O B

•

Mar 23, 2021

Great course! I recommend it to everyone.

创建者 AFEF B

•

Oct 31, 2020

A great experience thank you Pr Andrew Ng

创建者 Sanket B

•

Aug 19, 2020

good takeaways for hyper-parameter search

创建者 Tainá A

•

Jun 29, 2020

Amazing how Andrew makes DL seem so easy!

创建者 Mujun S

•

Jun 21, 2020

One of the best lectures I have ever had!

创建者 Yogesh H

•

Jun 4, 2020

The Content and explanation is very good.

创建者 Benjamin C

•

Mar 4, 2020

Good quality again in this specialization

创建者 Vaibhav S

•

Jan 20, 2020

Its a very good course .I really enjoy it

创建者 Bằng P C

•

Jan 14, 2020

A good course for optimize Neural Network

创建者 Eric

•

Jan 13, 2020

it is great course. I have learned a lot.

创建者 Chacko T

•

Dec 9, 2019

Lot of information not available in books

创建者 Shawn H

•

Sep 23, 2019

Another outstanding class in this series.

创建者 Yasar M

•

Sep 19, 2019

Deep learning is lolly pop with Andrew Ng

创建者 Jose F P P

•

Jul 25, 2019

Excellent content with well explanations.

创建者 mike v

•

May 1, 2019

Excellent course. I am telling everybody.

创建者 Veeresh I

•

Apr 9, 2019

well explained and easily understandable.

创建者 Neelkamal B

•

Dec 9, 2018

Very good pace of learning for beginners.

创建者 Jedrzej P

•

Apr 29, 2018

Awesome!! Helps a lot in finding problems

创建者 Alexander B

•

Apr 24, 2018

Good intro to Tensorflow and optimization

创建者 Santiago L d H

•

Apr 24, 2018

I loved the last exercise with TensorFlow

创建者 Raffaele T

•

Mar 9, 2018

Very intersting: it's simple and complete

创建者 潘俊文

•

Feb 26, 2018

Thanks! The best DL course for beginners!

创建者 Sui X

•

Feb 21, 2018

easy to understand and hace great useful