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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

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

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：

2351 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2375 个评论（共 7,283 个）

创建者 Rene A D P

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Jan 1, 2023

really good, although the last programming lab does gives issues to a lot of learners

创建者 aniket y

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Jul 28, 2022

Very good containt of the course and it excellenct part is its quizes or assignments.

创建者 Ayush P

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Feb 12, 2022

Its am excellent course to learn basics of machine learning and deep learning models

创建者 Mohamed S

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Dec 31, 2020

I would like to take the opportubity to thank Deeplearning.AI team for the great work

创建者 Sujan R

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Oct 25, 2020

Very good course and as always, Andrew Ng does very good job and explaining concepts.

创建者 Zhongtian Y

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Aug 24, 2020

I think I got used to Andrew's Class and it become much understandable once you adapt

创建者 Jatin G

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Jul 9, 2020

The comments in jupyter notebook are very well written to explain the code and tasks.

创建者 Varsha G

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Jul 6, 2020

It would be better to have more assignments where we have to do everything on our own

创建者 Zack K

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Jun 11, 2020

Great job at explaining hyperparameter tuning, mini-batch gradient descent, and more!

创建者 Salehin

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May 21, 2020

It is a remarkable course for a beginner to learn optimization and code in TensorFlow

创建者 Praneetha V

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May 4, 2020

Thank you Mr. Ng, for these great insights and intuitive understanding! Learnt a lot!

创建者 MD N I

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Apr 10, 2020

In one sentence, I can say its a really well organized and exceptionally well course.

创建者 AMIT P

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Apr 3, 2020

Well explained and the programming assignments are the best. Learnt a lot.

Thanks Sir

创建者 harshavardhan p

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Feb 29, 2020

I HAVE LEARNED HOW IMPORTANT HYPERPARAMETERS TUNING, REGULARIZATION AND OPTIMIZATION

创建者 Rishabh S

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Dec 26, 2019

Great learnings from this course specially on the optimizations. Glad to do this one.

创建者 Harish J

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Jul 22, 2019

Great Course on tuning hyperparameters. Addition of Tensorflow was great and helpful.

创建者 Manuel N R

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Jul 7, 2019

Genial. ahora me siento mucho mejor parado para la implementacion de redes neuronales

创建者 Yasiru B S P

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May 22, 2019

COURSE CONTENT WAS WELL DEFINED AND ORGANIZED. EXPLANATIONS ARE REALLY SMOOTH AS WELL

创建者 vikash k

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May 2, 2019

Very well explained. Assignment covers almost all type of problems taught in lecture.

创建者 Rafael A

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Apr 17, 2019

Excelente curso, recomendo fortemente, principalmente pela base matemática fornecida.

创建者 Walker J

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Mar 19, 2019

Great course that has thought me a lot about building practical deep learning models.

创建者 Bhaskar G

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Mar 12, 2019

I loved this course. It was very in depth and helped me understand a lot of concepts.

创建者 MichaelXuan

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Feb 25, 2019

Nice descent course and it helps a lot for either my personal interest and my career.

创建者 Bach T T

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Feb 1, 2019

It's great to know how to adjust hyperparameters and make my NN work more efficiently