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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：

3476 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3500 个评论（共 7,283 个）

创建者 Ankur N

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Apr 7, 2018

Best course for Deep learning tuning, optimization

创建者 Sukegon

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Mar 6, 2018

I can get lots of intuition! Thank you very much!

创建者 Jianbin L

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Jan 16, 2018

not enough assignments, but nice and simple enough

创建者 Chao ( Z

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Jan 15, 2018

Helpful and time-saving to get hang of this stuff.

创建者 JUNGHOON C

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Nov 19, 2017

Quite difficult session but very meaningful course

创建者 Krzysztof R

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Nov 14, 2017

Excellent, practically oriented course. Thank you!

创建者 AlfredO

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Oct 25, 2017

Very well presented and the assignments are great.

创建者 Ariel S

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Oct 4, 2017

Excellent course! Thanks to instructors and staff!

创建者 Arushi A

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Oct 2, 2017

The pace and content of the course is brilliant :)

创建者 Prakash C C

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Sep 22, 2017

Worth Studying. Very useful for practical insights

创建者 Yixing Z

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Sep 14, 2017

Thanks Andrew and your team, really help me a lot!

创建者 Clément N

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Jul 15, 2023

Excellent course! Prof Ng, is such a good teacher

创建者 Włodzimierz J

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Jun 8, 2021

Good course. Nice mix of knowledge and exercises.

创建者 胡泽天

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Nov 22, 2020

So glad I can learn so many frameworks operations

创建者 Fuad A

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Oct 10, 2020

It's a pretty interesting and well taught course.

创建者 VADDANAM G

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Sep 11, 2020

Very well - taught by Andrew, thank you coursera.

创建者 Derek L

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May 5, 2020

Great course to learn optimization of ML models!!

创建者 翁浩瀚

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May 4, 2020

it is very nice for the beginners in deep learnig

创建者 Navdeep S H

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Apr 29, 2020

This Course is very helpful in improving my model

创建者 Reem

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Apr 24, 2020

Valuable tips and insights throughout the course.

创建者 kArThIk T

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Apr 10, 2020

I Need to revisit to get some solid understanding

创建者 MIGUEL A Z G

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Jan 21, 2020

Great course! I'm very happy with the methodology

创建者 Abhinav M

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Sep 9, 2019

I was a very good experience learning this course

创建者 Viona Q

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Aug 20, 2019

Great course. Machine learning concepts made easy

创建者 Jay T

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Jul 21, 2019

Excellent Course to strengthen your core concepts