Amazon Tensor FLow
We use Amazon Tensor Flow mainly for classification, regression, and clustering when using large databases and for overseas clients. The …
Overview
What is Amazon Tensor Flow?
Amazon TensorFlow enables developers to quickly and easily get started with deep learning in the cloud.
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What is Amazon Tensor Flow?
Amazon TensorFlow enables developers to quickly and easily get started with deep learning in the cloud.
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What is Amazon Tensor Flow?
Amazon TensorFlow enables developers to quickly and easily get started with deep learning in the cloud.
Amazon Tensor Flow Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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(6)Reviews
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January 17, 2019
Amazon Tensor FLow
We use Amazon Tensor Flow mainly for classification, regression, and clustering when using large databases and for overseas clients. The cloud capabilities allow us to smoothly provide a full service for our clients overseas
- Amazon Elastic Compute Cloud (EC2) allows resizable compute capacity in the cloud, providing the necessary elasticity to provide services for both, small and medium-sized businesses.
- Tensor Flow allows us to train our models much faster than in our on-premise equipment.
- Most of the pre-trained models are easy to adapt to our clients' needs.
- SageMaker isn't available in all regions. This is complicated for some clients overseas.
- For larger instances, when using a GPU, it takes a while to talk to a customer service representative to ask for a limit increase. Given this, it's recommendable to ask in advance for a limit increase in more expensive and larger cases; otherwise, SageMaker will set the limit to zero by default.
- Since the data has to be stored in S3 and copied to training, it doesn't allow to test and debug locally. Therefore, we have to wait a lot to check everything after every trail.
- Positive: It has allowed us to work with our overseas teams without any large hardware investing.
- Positive: Pre-trained models significantly reduce the time to develop solutions for our clients.
- Negative: Since it's a relatively new tool, you have to be careful about not paying for large errors while learning to use the tool.
- Microsoft Azure Machine Learning Workbench, Google Cloud AI and Watson Studio (formerly IBM Data Science Experience)
Microsoft Azure is better than Amazon Tensor Flow because it provides easier and pre-built capabilities such as Anomaly Detection, Recommendation, and Ranking.
AWS is better than IBM Watson ML Studio because it has direct and prebuilt clustering capabilities
AWS, like IBM Watson ML Studio, has powerful built-in algorithms, providing a stronger platform when comparing it with MS Azure ML Services and Google ML Engine.
AWS is better than IBM Watson ML Studio because it has direct and prebuilt clustering capabilities
AWS, like IBM Watson ML Studio, has powerful built-in algorithms, providing a stronger platform when comparing it with MS Azure ML Services and Google ML Engine.