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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

4.9
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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1726 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1750 个评论(共 7,283 个)

创建者 Tan S P

Sep 29, 2017

The last programming exercise is really tough if you're not so good at Tensorflow. So you're better be good at it

创建者 C-y T

Sep 9, 2017

Dr. Ng shares his programming experience, provides easy and intuitive explanations of some complicated processes.

创建者 Immanuel D

Oct 25, 2023

Amazing for Absolute beginners who want to learn about working and significance of Hyperparameter optimizations.

创建者 Robert W M

Aug 12, 2022

An excellent resource for learning about how different optimization algorithms really work. Thank you Andrew Ng!

创建者 Manika J

Dec 2, 2021

This is one of the best courses to develop intuitive understanding of Deep Neural Networks along. Simply amazing

创建者 Mina H

Oct 5, 2020

Andrew is a great instructor. I've learned so much about hyperparameters in this course and I'm really grateful.

创建者 Tanay A

Jun 29, 2020

It's a really great course. A must even if you know the basics, as it really adds value to what you already know

创建者 Long C

Jun 26, 2020

Highly recommend. Best babysitting course for everyone to explore the complicated deep neural network algorithm.

创建者 Tohid S

Mar 23, 2020

This course was amazing. I am speechless about how Andrew presented the materials. I enjoyed every minute of it!

创建者 Muhammad T B

Jan 29, 2020

very wonderful course for Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

创建者 Karthik K M

Oct 11, 2019

Awesome course to know about the hyperparameters and their tuning and its importance while training the network.

创建者 Suvansh B

Sep 15, 2019

Its a great course for learning optimization techniques which are very well explained with the math behind them.

创建者 adolfo b

Aug 28, 2019

Great course. I now have a better understanding of the process of fine tuning a model to maximize its accuracy.

创建者 Christian V

Jul 15, 2019

Perhaps more examples of tensor overflow with direct implementation of neural networks provided by the framework

创建者 Jorge M G O

Jun 2, 2019

Estoy muy emocionado por los cursos de la especializacion, he aprendido bastante. Le agradezco a deeplearning.ai

创建者 Hanna P

May 6, 2019

Highly useful course. Complex concepts are explained in a structured way which makes them easily understandable.

创建者 pochadri a

Jan 27, 2019

very good understanding of the hyperparameters for various optimization algos is given, with very good intution.

创建者 Mike I

Aug 24, 2018

Was insightful and excellent. Looking forward to immediately learn the next course as I implement the knowledge.

创建者 SHENGCHAO Z

May 6, 2018

Good Course! But for the last week's assignment, more details and instructions needed for the Tensorflow syntax.

创建者 Kranti A

Mar 4, 2018

Thanks for clear explanation and for good content, helped me to understand and learn how to improve Optimization

创建者 박석 / P S

Dec 26, 2017

It was very helpful to grasp the differences in the concept of 'Normalization, Regularization and Optimization'

创建者 Vito D

Sep 18, 2017

Excellent course, updated my knowledge of gradient descent optimization techniques, introduced me to tensorflow.

创建者 Tianyue Z

Sep 11, 2017

introduced different aspects of how to improve the performance of NN. For beginners like me, it is very helpful.

创建者 Amalka W

Sep 2, 2017

This course teach how to tune the deep neural network which is one of the most important aspect of deep learning

创建者 Dan H

Feb 28, 2021

Excellent and detailed. Really gives intuitive understanding of how your optimisations work behind the scenes.