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

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

筛选依据:

1951 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1975 个评论(共 7,283 个)

创建者 Franklin V

Dec 31, 2020

I really like it, and I learned a lot of more deep topics and how to improve neural networks. Thanks.

创建者 Daniele V

Aug 27, 2020

The right level of detail, but I'd recommend to shrink it for future students, because it's outdated.

创建者 Rahul C

Jul 10, 2020

A must course for all AI practitioners. Very informative and takes you from basics to implementation.

创建者 Swarnendu R

May 29, 2020

Better understanding with hyper parameter tuning and Nice start with TensorFlow programming framework

创建者 Bhanuprasad D

Apr 19, 2020

i have learnt many concepts in this course that i have applied in my models and got very good results

创建者 Maksim P

Apr 11, 2020

Despite this course isn't very long it covers important topics related to ML engineer/scientist work.

创建者 Herambeshwar P

Jul 21, 2019

Very Good course, Recommend to anyone who is trying to learn and dive into the field of deep learning

创建者 somex g (

Jan 14, 2019

this course helped me to understand, what is effect of various hyper-parameters and how to tune them.

创建者 Ovidiu S

Jul 1, 2018

The course is very interesting, however I wish a bit more time was spent on tensorflow and its sintax

创建者 [email protected]

May 27, 2018

Excellent course, well structured material and assignments really helped with consolidating learning.

创建者 Bruno O

Mar 19, 2018

It was a very interesting course, but the full specialisation is a Must have! It was awesome! Thanks!

创建者 harish r

Feb 21, 2018

Excellent course. Thank to Coursera, Professor and staff for putting together such wonderful material

创建者 SAUMIL S

Oct 2, 2017

Thanks yet again for simplification and isolation of concepts in exercise. Helps in learning a lot.

创建者 Alberto C

Aug 2, 2020

Me encantó, muchas gracias a Andrew Ng y a todo su equipo por la gran labor que están realizando :).

创建者 Mohammad S R

May 7, 2020

I have no words to express my sincere gratitude towards Coursera, deeplearning.ai and Mr. Andrew NG.

创建者 John T

Apr 25, 2020

Great course, clear and concise lectures and very helpful assignments. Looking forward to course 3!

创建者 Sanjiv A

Mar 9, 2020

Very well designed course and very well taught by Prof. Andrew Ng who always motivates participants.

创建者 yangyandi

Jan 26, 2020

It's a very useful course for me to have a better understanding of hyperparameter in neural network.

创建者 Akshat J

Dec 21, 2019

Please give explanation about tensorflow , what computation graph is and how does a session works .

创建者 sandeep d

Jul 28, 2019

Covers theoretical aspects very well and good programming exercise that reinforces the theory again.

创建者 Deven P

May 19, 2019

Excellent resource for strategies on tuning hyper-parameter. Also a good introduction on tensorflow

创建者 Alexandros A

Apr 22, 2019

Loving the specialisation so far. TensorFlow introduction very basic - could use another week maybe?

创建者 郑韬

Mar 18, 2019

Excellent course. I feel it's cool to learn deeplearning in such amazing approach! Thank you Pro NG.

创建者 Steve G

Mar 13, 2019

Really learned a lot . Speed was just right and covered a lot I mean a lot of information well done!