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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

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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

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

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

筛选依据：

3401 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3425 个评论（共 7,283 个）

创建者 Michael M

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Oct 29, 2017

Explanation of basic principals beyond excellent !!!

创建者 Andres R

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Oct 25, 2017

Very interesting topics to extend NN from course one

创建者 Pedro

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Sep 28, 2017

Very practical approach to improve learning results.

创建者 mahmoud a

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Sep 15, 2017

great start for any beginner to take his first steps

创建者 David W

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Sep 7, 2017

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

创建者 PeiDa K

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Aug 29, 2017

Well put-together. The discussion forum is helpful.

创建者 Lê B Q T

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Oct 25, 2023

I think we should go more details about hypertuning

创建者 Shivam S

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Sep 24, 2021

good course to understand Improving Neural Networks

创建者 JUAN P R U

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May 11, 2021

Excelente curso, muy agradecido por el aprendizaje.

创建者 Shubham R

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Feb 27, 2021

Great Course. Learnt a Lot. Learnt tensorflow also.

创建者 Enuganti P K

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Dec 9, 2020

Great course with intuitive and timely explanations

创建者 Isuru C

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Nov 8, 2020

Best ever course in the world to learn deeplearning

创建者 Md. A A M

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Sep 19, 2020

As expected from Mr. Andrew Ng. Highly recommended.

创建者 Satabdi G

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Aug 16, 2020

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

创建者 Thangamari

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Aug 4, 2020

Its very very nice course..creative thinking course

创建者 MH R

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Jul 26, 2020

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

创建者 ritwik b

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Jul 13, 2020

Challenging , yet super rewarding. Really Loved it,

创建者 Thejus H R

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May 18, 2020

Really, really useful. Incredibly well done course!

创建者 K A N R

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May 10, 2020

Very Good course and it useful for all the learners

创建者 Mohamed B

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Apr 29, 2020

Thank you for your course and your pedagogic skills

创建者 Dr. F R M

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Apr 15, 2020

Fantastic !

Gaining confidence course after course.

创建者 Jeffrey B

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Mar 27, 2020

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

创建者 Rehan S

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Dec 28, 2019

Very informative and well organized for all levels.

创建者 Ventseslav V

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Dec 21, 2019

Great content, programming exercise with Tensorflow

创建者 Jonathan F

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Aug 7, 2019

This course is really well done. Great first steps.