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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RR
Jun 12, 2020
Could have increased assignments and some more indepth knowledge of tensorflow and proper installation way of tensorflow cause mine is showing error when iam trying to practice as shown in the video
DH
Apr 26, 2020
Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.
6601 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6625 个评论（共 7,292 个）
创建者 Ryota M
•Mar 21, 2018
-1 : Serveral bugs inside the assignments, causing 0 grades in auto grader
That said, a perfect intro to DNN.
创建者 Qihong L
•Oct 1, 2018
sometimes the teacher speaks too fast to follow, but the content itself is very good and easy to understand
创建者 Donguk L
•Nov 25, 2017
Maybe providing some video or reading resource for back propagation processes for batch norm would be good?
创建者 Snehitha D
•Jun 19, 2024
the concepts are a little complex and tricky and i hope there's a project by the end of the specialization
创建者 Mozhdeh S
•Mar 21, 2022
I needed more foundation for understanding tensorflow programming. However, I learnt a lot in this course.
创建者 Parjanya P P
•Jun 23, 2020
The answer in the last assignment was wrong, wasting a lot of my time. But otherwise the course was great.
创建者 Aaron E
•May 4, 2019
its a good intro, if not a little simplistic with the coding exercises, bring back the quizzes mid lecture
创建者 Alex S
•Dec 11, 2018
A small validation output error that is still not fixed prevent to rate all stars for the exellent course.
创建者 苑思域
•Aug 3, 2018
This one is actually a little bit better than the first one, maybe less content, maybe more understandable
创建者 Leitner C S E S
•Aug 29, 2017
Excellent course. But -1 for using TensorFlow, a not-really-free framework, to introduce students to them.
创建者 Jayshree R
•Jul 4, 2019
An intuitive approach towards Hyper parameters. Covers the concept of optimization algorithms quiet well.
创建者 Makragić A
•Jan 9, 2019
Great lectures, I'm little disappointed with TensorFlow tutorial, there should be 1 week for that only...
创建者 Richard H
•Sep 28, 2017
Fills in the tricky gaps in using DNN that are necessary to transition from basics to practical projects.
创建者 Harry L
•Mar 21, 2020
Too much code is given, which makes the programming assignments too easy. The material is great, though.
创建者 Shijian G
•Nov 28, 2019
These series are generally clear and well-organized. It would be better to provide tensorflow materials.
创建者 Kevin T
•Mar 29, 2023
The assignments could have been explained a little bit better. The course was overall very interesting.
创建者 Joseph A
•Dec 6, 2020
The course was very great, although I feel I needed a better explanation about tensorflow functionality
创建者 Tien N V
•Jun 24, 2020
This course so very good for person who wants to understand the optimization topic in machine learning.
创建者 Tanmay
•Jun 1, 2020
Nice content; creators must try to focus on enhancing the confidence of learners to code by themselves.
创建者 Ranjan D
•Jul 17, 2019
Great explanation on tuning different hyper parameters and how they can effect the model's performance.
创建者 Keanu T
•Jun 25, 2019
I wish it went a little more in-depth with softmax classifiers but I can find that online so it's good.
创建者 Byron M
•Apr 8, 2018
The final assignment didn't have the right instructions, a lot of misleading comments and instructions.
创建者 Matías L M
•Oct 29, 2017
The professor is really good at explaining. The projects got more interesting than in the first course.
创建者 Per K
•Oct 2, 2017
Get you to a more practical understanding of deep learning. The introduction to TensorFlow is valuable.