Reviews from AWS Marketplace
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
External reviews are not included in the AWS star rating for the product.
Deep learning containers review
What do you like best about the product?
Easy to connect and work. Less configuration required to get things working
What do you dislike about the product?
Not so easy for practitioners. Needs a strong knowledge base
What problems is the product solving and how is that benefiting you?
We have hig data banks on loan credit checks that require some deep learning logic to be executed
- Leave a Comment |
- Mark review as helpful
Easy to use and Lightweight DL Containers
What do you like best about the product?
AWS DL Containers Made it easy to Setup Deep Learning Images, With AWS DL Containers It Provides Very Lightweight and High End Improved images.
What do you dislike about the product?
Nothing more to be improved, But Yes It Can be Improved by Providing Various OS Support for Deep Learning Images, So that Development can work More Smoothly
What problems is the product solving and how is that benefiting you?
The Hard Part With Deep Learning Dockerization is that it's Complicated for Dependency Management and AWS Managed It Well in form.
There was a good experience about AWS Deep Learning.
What do you like best about the product?
User interface and user compatibility there was the smooth experience with AWS Deep learning.
What do you dislike about the product?
Support was average and response was late and technology limitations.
What problems is the product solving and how is that benefiting you?
With the help of AWS Deep learning, I can learn and store large data sets and scale up quickly with a lower cost of GPU.
Machine learning Heaven by AWS
What do you like best about the product?
Aws made machine learning operations pretty smooth, Installing docker has became pretty easy as now we don't need to make containers with scratch and just go with pre built frameworks ones.
What do you dislike about the product?
It's the interface, I personally Dont like the interface amazon provide with aws and make the user experiance slightly tougher. Otherwise its a pretty solid industry leader solution for the thing.
What problems is the product solving and how is that benefiting you?
It's helping my team deploy my machine learning dockers pretty easily for the company projects. It has made our lives pretty easier and helped the company alot.
Smooth and Fully Optimised DL Framework
What do you like best about the product?
I Used To Install and Setup My Machine Learning Project On to the DL Docker. it gives Me Really Smooth Experience and More than That It Consumes Less Time and Memories then Manual One
What do you dislike about the product?
Nothing more to Improve, But yes If It Support More Operating Systems and with Less memory Consumption then It's More than Improvement.
What problems is the product solving and how is that benefiting you?
Before Using Deep Learning I Use to have manual Image creation Which Giving Lots Of Build Issues, But with AWS DL it's Now Fast Forwarded
Exquisite
What do you like best about the product?
Very good environment with tensorflow and mxnet which is helped me a lot.
What do you dislike about the product?
Ahh no i don't have any dislikes about the same in my mind as of now i will let you know if i will found any
What problems is the product solving and how is that benefiting you?
This is ensuring reliable quick and i think most consistent deployments and actually it helped me a lot i mean i cannot describe here
Recommendations to others considering the product:
I will say go for it and help them to get introduced with this lovely platform
Deploy easily with AWS deep learning containers
What do you like best about the product?
Provides us with docker images pre-installed for deep learning framework.
What do you dislike about the product?
I found no downside while using this feature.
What problems is the product solving and how is that benefiting you?
Makes deployment very easy.
Best service to Machine Learning
What do you like best about the product?
It's already in the AWS cloud and really easy to integrate and use
What do you dislike about the product?
It could be a bit more clear how it has been charged
What problems is the product solving and how is that benefiting you?
We are using it in order to create and train some models to forecast occupancy for our customers
Recommendations to others considering the product:
I would recommend AWS Deep Learning Containers mainly for those who are using AWS as cloud
Very powerful tool
What do you like best about the product?
The completeness of the service that offers very useful images for configuring environments related to machine learning. The structure is very well organized and easy to learn.
What do you dislike about the product?
I found no downsides while using the AWS Deep Learning system. The service is easily learned thanks to the simple and intuitive interface. Support is also available to resolve any difficulties.
What problems is the product solving and how is that benefiting you?
The use of AWS Deep Learning Containers images designed to be used in a machine learning environment have in fact significantly reduced the workload and increased my productivity.
Incredibile strumento per il Deep Learning
What do you like best about the product?
The AWS Deep Learning Containers system is really very effective and the proposed images are always well structured and definitely useful for configuration in machine learning environments.
What do you dislike about the product?
The interface could be improved, as well as the user experience so that it makes everything more immediate and easy to consult, without getting lost in the various settings and configurations provided by the system. Overall, once I learn how to use containers, I find it all very effective.
What problems is the product solving and how is that benefiting you?
It certainly helped me a lot in finding the necessary images to load in the machine learning environment. This allowed me to significantly reduce the time spent on the usually built deep learning framework.
showing 11 - 20