par KT
•Oct 07, 2018
A very helpful course, we were able to practically apply all the knowledge we received from the First Specialization. I feel much more confident to do ML after this course!
par SK
•Oct 15, 2018
Excellent opportunity to learn ML for real world applications. Every one will get the benefit after completion of the course. Thanks for providing such a nice course.
44 avis
par Grzegorz Gornicki
•Feb 12, 2019
Labs are not working. I'm getting 'access to the resource denied' error
par vincent poncet
•Feb 06, 2019
Needs more explanations about the performance.
I do not understand why processing is so slow.
it is dozens of minutes or even more than 1 hour to process a few gigabytes.
Datalab takes more than 5 minutes to start, why ?
par Jayasudan Munsamy
•Jan 28, 2019
Awesome refresher course!
par Amit Kumar
•Jan 20, 2019
Got good insight about the data pre-processing, training the model and deploying it on ML Engine
Overall experience with the lab was fantastic
par Ian Quah Tun Chern
•Jan 19, 2019
Exactly what it says. Labs are trivial and I felt like I didn't learn much other than how to use the interface for serving and taking a model from start to finish. The core concepts are useful both in GCP and if you decide to roll your own stack
par bhadresh savani
•Jan 13, 2019
It was great course which converses entire ml learning journey
par arnaud konan
•Jan 09, 2019
Overall this is a very well structured and well delivered course i learned a lot from it.
But I couldn't reproduce some of the examples on local machine so 4 stars for now.
par Sushrut Ashtikar
•Jan 06, 2019
This course is awesome
par Lloyd Palum
•Jan 01, 2019
The qwiklabs interface to GCP is a little cumbersome. The need to start and stop sessions with each lesson wastes some time. I would prefer if the course came with a GCP credit and we were able to use our own accounts and still have a way to keep track of progress,..
par Rajdeep Arora
•Dec 30, 2018
This is the best end to end deep learning course available over internet. Delivery of the concepts and labs are the major highlights.