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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：

3776 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3800 个评论（共 7,283 个）

创建者 Patrik O B

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Mar 23, 2021

Great course! I recommend it to everyone.

创建者 AFEF B

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Oct 31, 2020

A great experience thank you Pr Andrew Ng

创建者 Sanket B

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Aug 19, 2020

good takeaways for hyper-parameter search

创建者 Tainá A

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Jun 29, 2020

Amazing how Andrew makes DL seem so easy!

创建者 Mujun S

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Jun 21, 2020

One of the best lectures I have ever had!

创建者 Yogesh H

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Jun 4, 2020

The Content and explanation is very good.

创建者 Benjamin C

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Mar 4, 2020

Good quality again in this specialization

创建者 Vaibhav S

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Jan 20, 2020

Its a very good course .I really enjoy it

创建者 Bằng P C

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Jan 14, 2020

A good course for optimize Neural Network

创建者 Eric

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Jan 13, 2020

it is great course. I have learned a lot.

创建者 Chacko T

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Dec 9, 2019

Lot of information not available in books

创建者 Shawn H

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Sep 23, 2019

Another outstanding class in this series.

创建者 Yasar M

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Sep 19, 2019

Deep learning is lolly pop with Andrew Ng

创建者 Jose F P P

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Jul 25, 2019

Excellent content with well explanations.

创建者 mike v

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May 1, 2019

Excellent course. I am telling everybody.

创建者 Veeresh I

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Apr 9, 2019

well explained and easily understandable.

创建者 Neelkamal B

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Dec 9, 2018

Very good pace of learning for beginners.

创建者 Jedrzej P

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Apr 29, 2018

Awesome!! Helps a lot in finding problems

创建者 Alexander B

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Apr 24, 2018

Good intro to Tensorflow and optimization

创建者 Santiago L d H

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Apr 24, 2018

I loved the last exercise with TensorFlow

创建者 Raffaele T

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Mar 9, 2018

Very intersting: it's simple and complete

创建者 潘俊文

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Feb 26, 2018

Thanks! The best DL course for beginners!

创建者 Sui X

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Feb 21, 2018

easy to understand and hace great useful

创建者 Max P

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Jan 24, 2018

Great course, but exercises are too easy.

创建者 Samujjwal G

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Dec 31, 2017

Enjoyed a lot completing the assignments.