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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

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

NT

Aug 19, 2019

I think this course is great. Because we learn about some definitions about hyperparameters, optimization which are frequently appears in papers or in the functions in some Deep Learning frameworks.

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1601 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1625 个评论（共 7,283 个）

创建者 Thapanun S

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Sep 6, 2020

Very good course that show you some insight on thing that it would take a lot of time if you experience it by yourself.

创建者 Jagruti P

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Aug 16, 2020

A very good course for someone who wants to understand the fundamentals of deep learning. Also, very apt for beginners.

创建者 Harsha V

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May 21, 2020

Nice course for beginners in Deep learning and a good introduction was provided for deep learning framework TensorFlow.

创建者 Abderrazak C

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Apr 14, 2020

Ce cours est une étape très intéressant dans cette spécialisation. Je le conseille vivement aux apprentis. Bon lecture.

创建者 Zeng X

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Apr 5, 2020

It really help solve a lot of question about how to improve dnn. Through this course, I learn basic knowledge about tf.

创建者 Arpit B

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Apr 5, 2020

Initially, I thought that this course is not important for this specialization but ut turned to be an important course.

创建者 vignesh p

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Jan 2, 2020

Well-structured course that gives you some very good insights into how hyperparameters are handled within deep learning

创建者 Danny L

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Jan 30, 2019

great course - program assignments can be a bit harder... plus, maybe more tensorflow assignments can be really useful

创建者 Osdel H H

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Sep 2, 2018

This course was great, I had some knowledge about the topic but I still learned a lot. Thanks Andrew and all your team.

创建者 Raymond K

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Mar 17, 2018

Overall very good course where you quickly gain an overview of current optimization techniques for Deep Neural Networks

创建者 AnnMargaret T

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Jan 5, 2018

Loved this installment to the specialization. Excited to explore other frameworks and applications. Highly recommended!

创建者 Korntewin B

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Sep 11, 2017

Very good, just like the first course in this specliazation and very recommend for whom that interest in Deep Learning.

创建者 Liekens W

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Aug 25, 2017

Great course, only remark, perhaps provide a diagram when to do what, high variance this are the options hight bias ...

创建者 Seema N

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Apr 26, 2022

Concise and interesting course. Lectures and assignments have clarity and simplicity making this course easy to learn.

创建者 Victoire T

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Jan 31, 2022

Concise explanation, Good intuition behind the mechanisms. Just lack a little up on the edge coding/project assignment

创建者 Joel

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Sep 3, 2021

Great topics and very nice project at the end of week 3. As always, amazing content from DeepLearning.AI and Andrew Ng

创建者 mohsan a

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Feb 5, 2021

the course was perfectly managed, the assignments idea and mode is amazing for intermediate learners of deep learning.

创建者 Dharmik B

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Apr 20, 2020

this course contains all the underlying mathematical concepts of various extremely necessary deep learning algorithms.

创建者 Gabriel C

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Mar 6, 2020

Clear and to the point. I think links to more formal research articles / Mathematical justification could be provided.

创建者 Mahmudul H

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Feb 24, 2020

Excellent and comprehensive teaching helped a lot in learning the hyperparater tuning . and all the relevant concepts.

创建者 Chen S

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Feb 10, 2020

loved the use of tensorflow finally it was explained with simplicity and gave me the intro i need for this framework

创建者 Shaelander C

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Sep 13, 2019

couldn't get better! Very well explained by Professor Andrew Ng how we can increase the performance of the deep nets .

创建者 Prashidha K

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Jul 6, 2019

Great Course. Great Instructor. I finished it in 1 week. I love that in the final assignment we get to use TensorFlow.

创建者 Giacomo M

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May 10, 2019

Exceptional insight on how Deep model work. The part on hyperparameters is simple and exceptional. Great introduction.

创建者 Anupam G

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Aug 19, 2018

Thanks for the wonderful course. The 'learning_rate' of the course was great. And thanks for free auditing this course