great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.
A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!
автор: Gaurav P
•Too basic
автор: Mohamed M F
•Amazing!
автор: Christos M
•Perfect!
автор: Shailesh K
•Awesome
автор: Vaibhav v s
•Awesome
автор: Mazahir R
•Perfect
автор: Santiago G
•Thanks!
автор: hitashu k
•AWESOME
автор: Kavya B
•awesome
автор: Jeff L J D
•Thanks
автор: Josef N
•great!
автор: Ben B
•Great
автор: Aji S
•great
автор: Johnnie W
•good
автор: RAGHUVEER S D
•good
автор: Rifat R
•Good
автор: PANG M Q
•good
автор: Amit K
•Good
автор: Nho N
•good
автор: zhenzhen w
•nice
автор: Jurassic
•good
автор: 林韋銘
•gj
автор: João A J d S
•I think I might say this for every course of this specialisation:
Great content all around!
It has some great colab examples explaining how to put these models into action on TensorFlow, which I'm know I'm going to revisit time and again.
There's only one thing that I think it might not be quite so good: the evaluation of the course. There isn't one, apart from the quizes. A bit more evaluation steps, as per in Andrew's Deep Learning Specialisation, would require more commitment from students.
автор: Anand H
•One challenge i have faced is with deploying the trained models. I find very little coverage on that across courses. It's one thing to save a model.h5 or model.pb. It would be nice if you can add a small piece on deployment of these models using TF Serving or something similar. There is some distance between just getting these files outputted and deploying. TF documentation is confusing about some of these things. Would be nice if you can include a module on that.
автор: AbdulSamad M Z
•Great course! Builds on the concepts of Course 1 in this Specialization although the course can be taken without having completed Course 1. Concepts are explained in a super clear and engaging way and the hands-on exercises give you the experience you need to become proficient. The course covers plenty of practical concepts including some pitfalls for practitioners to avoid, but the theoretical concepts are covered less than I expected.