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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

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

筛选依据：

3576 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3600 个评论（共 7,283 个）

创建者 Vishal C

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Jul 19, 2018

Very helpful for me especially Tensorflow part.

创建者 Lawrence F

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Mar 14, 2018

Andrew Ng knows how to simplify complex things.

创建者 Javedali S

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Feb 11, 2018

Awesome Awesome .. THanks Andrew, you are best.

创建者 zawar k

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Nov 5, 2017

it is a good course with good learning material

创建者 Harish S

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Oct 29, 2017

This was very interesting and practical course.

创建者 戚跃宇

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Oct 26, 2017

I love this course ,and i love Andrew.thank you

创建者 Joffre L V

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Oct 10, 2017

Thanks, ... another step given in ML

Joffre Luis

创建者 洪锋

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Sep 19, 2017

Learned to useDNN framework to solve problems！

创建者 Ajinkya C

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Nov 11, 2023

One of the best source to learn deep learning.

创建者 Saumya R S

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Mar 23, 2021

really good concept, helped me learn, worth it

创建者 Ernesto G d l P

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Mar 11, 2021

Brilliant, nice flow of assignments and theory

创建者 Chetraj P

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Oct 2, 2020

The best Deep Learning Course in the internet.

创建者 Piyas C

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Aug 15, 2020

The lecture of Professor Andrew Ng is amazing.

创建者 Kyaw T H

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Jul 12, 2020

Very Excellent Course for DeepLearning Learner

创建者 Yi S

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Jul 11, 2020

The most wonderful course about deep learning.

创建者 Yair Y P V

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Jul 9, 2020

Great introduction to deep learning frameworks

创建者 Sujit M

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Jun 10, 2020

Felt little complex. But finally completed it.

创建者 Aishik R

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May 27, 2020

Tensorflow part coulda been more comprehensive

创建者 Prem M

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Feb 29, 2020

A great course that gives you valuable skills.

创建者 Akil R

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Jan 28, 2020

Great, well organised, student-centred course.

创建者 Frank S

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Nov 10, 2019

Excellent!! Lots of fun. Clear explanations.

创建者 Md. S R

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Sep 7, 2019

The last assignment on tensorflow is amazing!!

创建者 Mohit P

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Jul 7, 2019

Love the way course is arranged.Thank you Sir.

创建者 Akshay H

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May 21, 2019

Great course. Thanks to the instructor and TAs

创建者 Camilo G

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Mar 2, 2019

Great way to introduce topics in Deep Learning