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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:

3201 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3225 个评论(共 7,283 个)

创建者 JAI G

Jun 15, 2020

As good as first course. Love to see the implementations.

创建者 VIKAS K

May 23, 2020

Great insight in deep NN and the best part is TensorFlow.

创建者 Nibir H

May 8, 2020

Really easy to understand and worthy deep learning course

创建者 Alexis C O

May 1, 2020

Such a great course, please, update to tensorflow 2 asap!

创建者 Kailash C

Apr 8, 2020

Very well designed course and easy to grasp for learners.

创建者 Rajesh R

Mar 21, 2020

Great courser to study and practise. Highly recommend it.

创建者 Abhishek

Feb 14, 2020

Amazing course, helped me with introduction to Tensorflow

创建者 Hideyuki K

Jan 24, 2020

Very nice course since it contains "real-world" examples.

创建者 YIRAN W

Nov 25, 2019

Love the last practical, great introduction to TensorFlow

创建者 Mr.Doctor

Oct 6, 2019

Very practicle strategies to optimize learning algorithm!

创建者 Sahil W

Jul 28, 2019

Andrew sir is one of best teacher I have seen in my life.

创建者 mrinmoy b

Jul 10, 2019

Again mesmerized by Dr. NG's Teaching. Best teacher ever.

创建者 Sergio M C Z

Jul 7, 2019

Very good course, very conceptual and well guide learning

创建者 Zimo Z

May 25, 2019

The final project has problems associating with itself...

创建者 Lin Z

May 23, 2019

Best course ever I took. Thank you, Andrew and your team.

创建者 Ali R O

May 22, 2019

Thank you so much I learned so many thing in this course.

创建者 Pratik K

Feb 4, 2019

This course is a must for every deep learning enthusiast!

创建者 NAGARAJ R

Jan 23, 2019

Fantastic course. Took all fear away from Deep Learning.

创建者 Darisetty S

Nov 19, 2018

Dhanyavadamulu! Much needed course to every AI Developer.

创建者 Harry S

Nov 11, 2018

very helpful, clear and concise. Everything to the point.

创建者 Ong S L

Oct 14, 2018

Better if we start off the entire course with tensorflow.

创建者 Manjunath M

Jun 23, 2018

Great Course, feels great to learn FrontLine technologies

创建者 Cayol O

Jun 7, 2018

Usefull trining course for a better understanding of DNN.

创建者 Alexandre L

Apr 28, 2018

great course, keen on learning more with the next module!

创建者 brook a

Apr 5, 2018

just astonishingly brilliant course by andrew ng and crew