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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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63,492 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

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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：

1751 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1775 个评论（共 7,283 个）

创建者 Navneet N

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Sep 28, 2020

This course is beautifully designed and practice and lab assignments take us on a journey from root to the top.

创建者 Deleted A

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Jul 31, 2020

The Intricacies of Fine Tuning a model to ooze out performance from is conveyed quite clearly from this course.

创建者 DUDHAVAT K M

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Jun 14, 2020

I really like the way Andrew explains the reason behind each type of algorithm and when to use it in our model.

创建者 Andy W

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Jun 13, 2020

Better than the previous course. I would recommend if you are more likely to apply what you learn into practice

创建者 Pree R

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Feb 20, 2020

This is a great course designed to give students proper insight into the hyperparameters & their tuning methods

创建者 Aamir I

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Jul 15, 2019

I am delighted to have completed this course, now I know how Hyperparametrs actually work and how to tune them.

创建者 Bill F

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Feb 17, 2019

Good solid theory and practice advancing my understanding of deep learning and an effective intro to TensorFlow

创建者 Yi X C

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Oct 25, 2018

Amazing simple explanation by Andrew Ng and easy to follow practice. Very much needed for the busy practitioner

创建者 Trần N M H

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Sep 4, 2018

This is an amazing course! It introduced me a lot of knowledge and techniques to improve a Deep Neural Network.

创建者 Dheeraj B

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Nov 21, 2017

Great material very informative and brisk pace of learning keeps you engaged and learning new things all along.

创建者 Abdelhak E

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Apr 28, 2021

I had many questions on how to improve my deep neural network model, and in your course I found their answers.

创建者 ayushi s

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Jan 29, 2021

This course helped in learning various optimizing techniques with a good mix of lectures, assignment and quiz.

创建者 George I

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May 30, 2020

More Hyper-parameter optimization and your first step to TensorFlow. But my conclusion Matlab is really easier

创建者 Muhammad A

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May 12, 2020

Amazing course for developing deep understanding of deep learning. Great instructor and intuitive assignments.

创建者 satyam b

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May 7, 2020

I feel much more confident in my ML skills after taking this course.

The assignments are awesome and very good.

创建者 Arun P R

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Apr 23, 2020

Must known and very common terms in Deep Learning are well explained in this course. It's good in every aspect

创建者 Razieh K

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Apr 6, 2020

That was one of the best courses I've ever had during my entire scientific learning and working! Thanks a lot.

创建者 Boris B

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Mar 25, 2020

Informative overview about ML techniques which are helping on the way to improve modelling with deep learning.

创建者 Alejandro J M R

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Aug 30, 2019

Una manera de optimizar el aprendizaje de tu modelo. Qué buen curso, qué buen profesor. Recomendado totalmente

创建者 Chris B

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Jun 25, 2019

Good balance between theory and practice, focusing on the impact of hyperparameters across the whole solution.

创建者 Justin T

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Oct 14, 2018

Awesome! Learned a ton about tuning models, and especially loved the intro to TensorFlow in the final section!

创建者 Abhishek N

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Oct 14, 2018

Fantastic Course! The video lectures were crystal clear about the concepts and the assignments were top notch.

创建者 Vikas K T

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Aug 31, 2018

Every researcher in AI domain should learn practical aspects of deep learning implementation from this course.

创建者 Dharam G

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Jul 2, 2018

Just Perfect !Crisp and Clear explanationDirectly To-the-pointSystematic and best effective approach explained

创建者 Muhammad U A

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Jan 30, 2018

It is very good course. This course help me to tune my model with respect to accuracy as well as performance.