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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
63,489 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

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

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

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1276 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1300 个评论(共 7,283 个)

创建者 bhavesh j

Dec 27, 2019

I think this course is an important step as we move further in this field since as data and model become larger, optimum performance is a must.

创建者 Mohammad H

Dec 12, 2019

I liked a lot that I applied everything from zero-ground. Although it can be implemented much better, but in general, all assignments are great

创建者 Vibhutesh K S

Oct 1, 2019

It was really nice to see that Andrew Ng introduces Tensor Flow at the right time. But learning tensor flow's programming syntax was difficult.

创建者 Namkung J

Sep 22, 2019

lectures were very easy to follow to new learners for deep learning. especially many practical tips are helpful when analyzing real world data.

创建者 Isabel B

Sep 7, 2018

Very well written tests. The assignments are challenging enough to really test your understanding but not so difficult as to be unsatisfactory.

创建者 Ram M

Feb 11, 2018

This course is extremely useful since it covers the very recent developments in optimization of deep networks, and best practices to tune them.

创建者 Oleksii M

Jan 31, 2018

Thank you guys for the great course! The small typos in the assignment only make it more interesting :) But definitely should be easily to fix.

创建者 Kyung-Hoon K

Nov 19, 2017

Introduction on TensorFlow will help me with practical applications. As always, thanks for the best course, Andrew Ng, Mentors, and colleagues!

创建者 Victor C

Sep 30, 2017

Exceptional teaching and material. So often the big picture gets lost in a deep ocean of details. Somehow Andrew Ng manages to give you both.

创建者 Viroopax M

Mar 14, 2022

Goes into so many unique details and special coverage of the various hyperparameters and optimization techniques. Very useful for DL learners.

创建者 Edwin C L

Aug 27, 2021

Excellent course to learn about hyperparameters tuning (basics) and a gentle introduction to Tensorflow 2.x. Thanks for spread this knowledge!

创建者 Ashik

Apr 17, 2021

it was a really good introductory course for beginners , the clear explanation and programming exercises gave me a firm grip on the concepts .

创建者 Milton E G L

Jun 1, 2020

Es un curso pleno en temas de regularizacion y optimizacion. Provee información clara, ejemplos y ejercicios que permiten la aplicacion de DNN

创建者 P S P 4 B E E

Mar 27, 2020

This is the best course ever on hyperparameter tuning and regularization as well as optimization. A big thanks to Andrew Ng sir and his team.

创建者 hiten s

Sep 7, 2019

the grate content provie by the deeplearning.ai and the intiuation of the different concept of deep learning is teaching amazing by Andrew Ng.

创建者 Fadel V S

Jun 18, 2019

Amazing course so far! Loving every minute of it. Informative, challenging yet easy to understand at the same time. Highly recommend doing it!

创建者 Ahmet

Feb 22, 2019

This is the first time, i have learned how the softmax classification, batch normalization, deep nn with tensorflow works, thank you Prof. Ng.

创建者 Sayan S

Apr 2, 2018

Good learning. My Python is getting a tad better now (I was new when I started this course and have been practicing Python on the sidelines s

创建者 Benji T

Feb 17, 2018

Moves from theory to practice. Video pacing is good , Assignment has some slight mistake though, but all in all, one of the best course for DL

创建者 Brian W

Aug 18, 2017

Another great class, the final programming assignment is tricky and requires one to get a strong grasp of tensorflow (which is a great thing).

创建者 Hikmet H

Oct 25, 2021

Everything is perfect. The writings of instructable are non-readable though. Better to take notes yourself, instead of relying to pdf slides.

创建者 Quan T

Aug 28, 2020

Thank you so much, because of this course I can understand alot of knowledge. I hope to learn many things new from this course in the future.

创建者 Rahul _

Aug 23, 2020

I really enjoyed learning this course. I got a even more deeper understanding about the NN, how to improve them and also how to implement it.

创建者 Alan K F G

Aug 8, 2020

These two courses helped me a lot to undestand how programming frameworks work under the hood. Professor Andrew Ng is such a good instructor!

创建者 Ayush G

May 20, 2020

Excellent course! I liked the way optimization algorithms were taught. Although a bit more explanation could have been given on TensorFlow...