This is going to need at least 2 basic tutorials: one to use it for model training, the other for "production" deployment in prediction. The tutorials could use MNIST.
Training: Pass layers/nodes/activation functions as a request, training result metrics are recorded in a RDS, trained models are recorded in S3. Training data is uploaded separately to S3.
Prediction: Pass an image via REST, upload to S3, predict, return via REST.
This is going to need at least 2 basic tutorials: one to use it for model training, the other for "production" deployment in prediction. The tutorials could use MNIST.
Training: Pass layers/nodes/activation functions as a request, training result metrics are recorded in a RDS, trained models are recorded in S3. Training data is uploaded separately to S3.
Prediction: Pass an image via REST, upload to S3, predict, return via REST.