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Acute Lymphoblastic Leukemia Detection on the NVIDIA Jetson Nano.

The Acute Lymphoblastic Leukemia Jetson Nano Classifier is a Convolutional Neural Network (CNN) developed using Intel® oneAPI AI Analytics Toolkit and Intel® Optimization for Tensorflow* to accelerate the training process, and TensorRT for high performance inference on the NVIDIA® Jetson Nano™.

In this project you will do the following.

- Train a custom CNN for Acute Lymphoblastic Leukemia on your development machine.
- Convert the Tensorflow SavedModel to TFRT format
- Convert the Tensorflow SavedModel to ONNX format
- Convert the Tensorflow ONNX model to TensorRT format
- Test the CNN on your development machine.
- Download or create a custom docker container for your NVIDIA Jetson Nano.
- Run the CNN on your NVIDIA Jetson Nano using Tensorflow.
- Run the CNN on your NVIDIA Jetson Nano using TFRT.
- Run the CNN on your NVIDIA Jetson Nano using TensorRT.”

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