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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：

3726 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 3750 个评论（共 7,283 个）

创建者 Pankaj Y

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Feb 1, 2018

Good explanatory course for neural networks

创建者 Boris V

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Jan 19, 2018

Nice Course, thanks to all who contributed!

创建者 Akshai S

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Jan 9, 2018

It taught me a lot of intricate concepts :)

创建者 廖世昌

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Jan 2, 2018

Nice teacher, very detailed and very clear!

创建者 Nathan H

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Dec 1, 2017

Easy to understand. Excellent presentation.

创建者 Venkata R R L

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Nov 22, 2017

Great course, good explanation of concepts.

创建者 Dave L

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Oct 20, 2017

This is a great course which helps me a lot

创建者 Milo C

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Sep 27, 2017

Very good course and very nice community :)

创建者 Yusuf A

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Aug 30, 2017

Great insight into Deep Learning Algorithms

创建者 Huzaifa S

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Feb 12, 2025

The best course,assignments and everything

创建者 Abdallah A O

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Feb 25, 2024

One the best courses I've seen, well done.

创建者 satya s m n

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Aug 5, 2023

Complete from scratch to using Frameworks.

创建者 Erfan G

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Jul 16, 2023

some topics need more explanation, I guess

创建者 Aleksander S

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Mar 19, 2021

Nice! May useful experience and knowledge!

创建者 Nieb H N

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Nov 29, 2020

Courses from Andrew NG are always special.

创建者 Dr.P P

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Aug 23, 2020

excellent course by andrew ng and coursera

创建者 vijay b n

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Aug 13, 2020

Best course and I thank instructors a lot.

创建者 Peter K

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Jul 27, 2020

Tolle, einfache, zielgerichtete Erklärung!

创建者 ARUNABHA M

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Jul 10, 2020

Great learning from a top rated instructor

创建者 Daniel L

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Jul 6, 2020

Very interesting, specially the last week!

创建者 VINAY M

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Jul 6, 2020

Learning using Notebook is is really Nice.

创建者 Peter S

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Jun 18, 2020

Great course, it really builds intuition.

创建者 UnniKrishnen N

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Jun 13, 2020

Amazing explanation and practical approach

创建者 Niranjan S

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Jun 9, 2020

The TensorFlow tutorial is really helpful.

创建者 Max B

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May 19, 2020

Another outstanding course by Andrew Ng!!!