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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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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

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

DH

Apr 26, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

筛选依据：

3551 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3575 个评论（共 7,286 个）

创建者 Yongtao M

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Aug 25, 2017

It become more interesting than the first course

创建者 Vishwayishwaran L

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Jul 27, 2024

nice explanations, good course explain strategy

创建者 Ernesto R M

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Oct 8, 2023

Excelente curso, buena relacion teoria practica

创建者 Ankit

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Apr 19, 2022

Excellent explanation of optimization concepts!

创建者 Daniil M

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Mar 23, 2022

Great course.

Very clear and useful information.

创建者 Janendra H D A

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Jan 4, 2021

Fantastic. Really helpful for beginners like me

创建者 Prakhar C

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Dec 17, 2020

Great course on improving deep neural networks!

创建者 peilang

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Sep 7, 2020

have mastered how to optimize a neural network.

创建者 John W

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Aug 23, 2020

very helpful course for me to start learning NN

创建者 Pinninti A

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Aug 16, 2020

Excellent flow of teaching and good assignments

创建者 Mullangi R

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Jun 6, 2020

exceptionally good , way of teaching is awesome

创建者 Sooraj S

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May 25, 2020

This is my first study on hyperparameter tuning

创建者 Jayesh S

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May 18, 2020

great intuition about different hyperparameters

创建者 suyash s

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May 11, 2020

Exceptional Teaching by Andrew Ng. Thanks Alot.

创建者 Kingsley N K K

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Mar 21, 2020

Good guideline and full of useful information.!

创建者 Ignacio R L

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Feb 22, 2020

Great course to learn about models optimization

创建者 Harshal D

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Dec 23, 2019

very helpful for learning improving performance

创建者 GÖNÜL S

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Nov 24, 2019

It is really impressive and instructive course!

创建者 Zhen T

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Nov 16, 2019

Very good clarification in lecture and homework

创建者 Sannyii

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Nov 13, 2019

the lecture is a litte fast, but is very useful

创建者 malte c

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Sep 3, 2019

Entertaining and insightful, always a pleasure!

创建者 Sylvain L

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Aug 21, 2019

Excellent mix of theory and practical examples.

创建者 JIMMYKUMAR A

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Jul 14, 2019

Great course, programming assignment was great.

创建者 Emircan K

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Apr 25, 2019

Exceptional teaching by Andrew Ng. As always...

创建者 Pieter J V V V

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Mar 28, 2019

Very clear explanations, well guided exercises.