TensorFlow on AWS
TensorFlow™ is one of many deep learning frameworks available to researchers and developers to enhance their applications with machine learning. AWS provides broad support for TensorFlow, enabling customers to develop and serve their own models across computer vision, natural language processing, speech translation, and more.
Recent questions
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- 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?
- 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 ...
- 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...
- I wish I had Tech agent that could help me navigate this tough terrain. So I'm working on deploying my first Deep Learning Model, I feel late. I was able to successfully connect to my instance load ...
- Hello, Regardless of the instance type I can't launch a Tensorflow 2.11.0 CPU/GPU kernel on the Frankfurt datacenter, getting this error: Starting notebook kernel... Had error starting kernel 1 tim...
- Hi there, nice to meet you all, I've been trying to train an Object Detection Model (using Built-in Algoritms, Tensorflow) following the [jumpstart examples](https://github.com/aws/amazon-sagemaker-...
- I want to export the data wrangler transforms but i am not able see flow export option but only tranformed data set export is available![Workspace image](/media/postImages/original/IMxUvZX_8QSBKHipjvy...
- Hi, This link https://awsdocs-neuron.readthedocs-hosted.com/en/latest/frameworks/tensorflow/tensorflow-neuron/tutorials/bert_demo/bert_demo.html mentions how to compile using tensorflow 1. Can anyone...
- The environment I'm using is: - aws p4dn.24xlarge instance (NVIDIA Ampere A100 GPU ) - cuda 10.1 - tensorflow 2.3.0 - python 3.6.9 I get an error when I run the following. What is the reason? ``` ...
- Can anybody suggest nice, reasonably up-to-date example(s) for importing a previously trained TFv2 model to SageMaker? i.e. tarballing the artifact to S3, and configuring the Model & Endpoint (prefera...
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