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All Content tagged with TensorFlow on AWS
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I have been working on building a QML model for the classification of an image dataset, which is approximately 194 MB in size. While executing the code on the AWS Braket Jupyter instance, I encountere...
Hi AWS team,
I am currently running the Greengrass qualification test. But the TensorFlowLiteImageClassification test item has consistently failed to pass.
My OS is Debian on an aarch64 architecture...
How can you deploy a TensorFlow model to an async endpoint in Amazon SageMaker while including an inference.py script?
asked 6 months ago
When I attempt to deploy a model to an endpoint with initial_instance_count=1, it works fine. Attempting to deploy the same model to an endpoint with initial_instance_count=2, however, always results ...
Hi,
Is there more documentation/examples for *TensorFlow* on Trn1/Trn1n instances?
Documentation at:
[https://awsdocs-neuron.readthedocs-hosted.com/en/latest/frameworks/tensorflow/index.html]() ha...
I'm considering launching an instance to work on one of my TensorFlow models since my current PC doesn't perform efficiently. My PC has 32GB of RAM, a 20CPU i7 processor, and an RTX 3050Ti 20GB GPU. I...
Hello everyone!
I have this problem, where I'm trying to deploy an emotion recognition model (format: `model.h5`) # keras model
But I have tried a couple of ways but it isn't working out for me. I tri...
I have start the docker API for loading of model.
Container is running successfully but in browser it is showing -->
This site can’t be reached (http://13.189.100.89:8051/v1/models/my_model) refused ...
I trained a deep neural network using sagemaker and deployed the endpoint successfully. But, when trying to get the predictions on test data, i am getting "SSLError: SSL validation failed for https://...
Can a customized DLAMI be used for both GPU and CPU backed instances?
When creating GPU compatible AMI using https://aws.amazon.com/releasenotes/aws-deep-learning-ami-ubuntu-18-04/ they don't work on ...
asked 2 years ago
Hi Team,
We have trained our Ml model using keras framework (version =2.11.0) which is used for prediction, and we want to run this model on an edge device (linux) so we made use of aws sagemaker edg...
Im using sagemaker for train the data
It has pre-trained model
“tensorflow-od1-ssd-resnet50-v1-fpn-640x640-coco17-tpu-8”
**Create the SageMaker model instance. Note that we need to pass Predictor cl...