学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈
课程概述
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AS
Apr 18, 2020
Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course
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
1651 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1675 个评论(共 7,283 个)
创建者 bardock s
•Jun 10, 2020
A very good course on hyper parameter tuning, some notations can be updated as they are confusing in the derivations
创建者 Pramod M N
•Jun 5, 2020
A really intuitive course that gives insight into how to optimize deep learning models in the simplest way possible.
创建者 Usama k
•May 3, 2020
Awesome Learning Platform with Awesome Trainers and especially the practical work they enable us to do is awesome...
创建者 Simon B C
•Apr 30, 2020
As always greate teacher and course! Together with the Machine learning course the best course I've followed so far!
创建者 Karthi K
•Dec 17, 2019
Again one more excellent course from Andrew Ng! Great path for mastering Deep Learning! Learnt a lot from Andrew Ng!
创建者 Rishabh M
•Dec 8, 2019
Found this to be a tad bit difficult than the others, but great learning and really simple explainations by Prof NG!
创建者 Prashanth S
•Nov 24, 2019
Immense amount of learning in these first two courses. Will go over the lectures once again to cement understanding.
创建者 Krishna T T
•Nov 23, 2019
One of the best. Having been working with deeplearning for 2 years. Yet i have had some nice pointers in this course
创建者 Seun O
•Nov 13, 2019
There is a lot to digest in this course. As always, Andrew did a great justice to every element of the entire course
创建者 Oscar R R M
•Aug 26, 2019
Great course, perfect continuation for the machine learning course imparted by the Standford University on Coursera.
创建者 Khursheed A
•Apr 2, 2019
Concepts such as dropout, batch norm and exponentially weight averages are explained very well with good intutiions.
创建者 Prafful P
•Mar 31, 2019
Great Insights for improving performance of Deep Neural Networks, couldn't find any better resource other than this.
创建者 Cynthia W
•Aug 23, 2018
It was pretty tough, lots of content to understand, but the quiz and assignment really helped solidify the concepts
创建者 Sumit K
•Aug 14, 2018
Andrew Ng is the Best Instructor to have for deep Learning and related topics. I am impressed by his way of teaching
创建者 Surya T K
•Mar 11, 2018
Gives great insights about the importance of parameters in neural networks keeping in view the real time scenarios .
创建者 Pradeep R
•Feb 25, 2018
Short but excellent material as usual - and a gentle introduction to TF. Can't wait to learn more from Prof. Andrew.
创建者 karan m
•Jan 6, 2018
Explains the things in very good intuitive way and also introduces to basic maths so as to understand things better.
创建者 KAUSHIK N
•Nov 8, 2017
Very helpful material for Regularization and Optimization which are one of the most critical parts of Deep Learning.
创建者 Ruoyu ( W
•Sep 19, 2017
Very clear, easy to understand. The tutorial of Tensorflow and coding assignment are step by step, smooth to follow.
创建者 Zhao Y G
•Sep 14, 2017
It was fun and I learnt a lot in this course such as adjusting the hyperparameters and understanding the optimizers!
创建者 Amit L
•Apr 25, 2023
The course introduces great useful tools very clearly and the assignments contributes to the material understanding
创建者 hossein r
•Apr 28, 2022
It's really insightful. I wish it has more about Tensorflow and also you can choose between Tensorflow and Pytorch.
创建者 Rajpurohit V
•Oct 2, 2020
best course ever, awesome assignment I have created complete optimization algorithm from scratch awesome experience
创建者 Agustin N
•Oct 1, 2020
Great course! Easy to follow, and all the importants concepts and topics are covered in an intuitive way. Congrats!
创建者 Aashish S
•Jul 4, 2020
Well paced course. I liked the flow of the course especially since the topics were interrelated and organized well.