学生对 DeepLearning.AI 提供的 Custom Models, Layers, and Loss Functions with TensorFlow 的评价和反馈
课程概述
热门审阅
NP
Feb 3, 2021
It is advanced TF specialization and the way contents are presented in the course are very systematically. Definitely recommended for developers already familiar with TF and wanted to explore further.
MS
Nov 24, 2020
Really great course, it teaches you all about the TF API and how to customize it for your needs, i thought only pytorch can make that as it's really pythonic, but i am a nieve noob what can i say.
201 - Custom Models, Layers, and Loss Functions with TensorFlow 的 225 个评论(共 226 个)
创建者 omid S
•Mar 26, 2021
perfect
创建者 Ariz M
•Jul 31, 2021
Great!
创建者 Data I M
•May 31, 2023
good
创建者 Lalatendu P
•Mar 20, 2022
Good
创建者 Chamika G
•Aug 13, 2021
Best
创建者 Ignacio L
•Apr 9, 2021
GREAT ONE. You will be getting better in some things thanks to this course, like object encapsulation , remembering fowar and back prop etc. I still want more freedom trying to use this tools in a challenging way. Like Kaggle does. Its too much info to get it right and know one is worth using. I woudnt change what there is, but I would add a final lab with a more open ended result.
创建者 Alexander O (
•Jun 13, 2021
The course is great for Tensorflow beginners. Unfortunately it provides only a superficial description of custom layers, covering only simplest one-line computations. Models covered in the course labs do not support summary() methods. I would like to know from the course how one would create full-fledged Tensorflow/Keras models that support all standard methods.
创建者 Amit H
•Oct 16, 2022
A good course to refresh the DL concepts in Tensorflow language. It is still a basic course so don't expect novel ML material from it. But it's good to understand TF code that you many encounter and convert PyTorch code into TF. Combined with other advanced DL theory, we can write TF code which creates complicated models.
创建者 mohit d
•Sep 10, 2021
One of the best course on custom Models and layers . As we all know importing a layer is an easier task it just includes a line but making our own models and layers is something which I always wanted to learn and I would like to say this course completely justified it
创建者 Yuqi W
•Apr 23, 2022
The course is overall very good and helpful to help me build my custom Model
Learn a lot of new concepts
But there are also lots of grading error
And I personally found # Your Code start Here# is annoying as I had to delete them first before I can code
创建者 afsane h
•May 6, 2023
Very good course which enables you to implement custom model structures, and custom training. I'll recommend the course if you are a researcher, student, or developer in need for trying modeling beyond already existing models, and keras api
创建者 Thierry K
•May 9, 2022
A little bit too easy. It's too bad that the coding assigments are so easy and don't need any deep thinking...
Nevertheless it's a good course and the instructor explains very well !
创建者 Antonio C R
•Dec 25, 2022
Concise and simple, but I would liked to see more depth and more exploration. It touches only the bare ground and it is a really short course.
创建者 Nakshatra G
•Mar 30, 2022
A little tedious course but overall a great one. I think after going through code some more times the concepts will seem fairly easy.
创建者 Baburam C
•Jun 9, 2023
excellent and comprehensive course with enough examples to understand the concepts
创建者 胡扬
•Dec 28, 2024
detailed introduction of customization functionalities, could go a little deeper
创建者 David R
•May 3, 2021
some good stuff, but too short and pretty easy
创建者 Danial Z
•Oct 12, 2023
Some material links were inaccessible
创建者 Helmy P H
•Dec 2, 2024
My opinion its good
创建者 Jacky T
•Jan 17, 2021
Very nice course!
创建者 Deleted A
•Sep 11, 2021
good course
创建者 Xứng B
•May 1, 2023
good
创建者 José L
•Apr 15, 2021
The content is very clearly presented, but is very easy. Also miss a real-world challenging application exercise. All in all, too short, too easy for an "intermediate" level course.
创建者 周昊轩
•Apr 20, 2024
For the last graded assignment, just keep the first and last layer. Otherwise, there will be a time off error
创建者 Federico C
•Nov 3, 2021
An interesting perspective, but the assignements modalities are a bit too easy.