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Hi,
I am new to this Machine learning world. I am learning new stuffs everyday but want to test my learning in parallel. I have trained and created basic mnist dataset on google colab and test its functionality. But now i want to integrate this model with J7 platform and create something like image classification vision app, so that in place of things it will detect numbers.
to give you the details....
my model is the simplest model having 2 dense hidden layer and expecting (28,28) tensors.
Please refer below for deploying DL model on J7
As of now, we do not have a cloud-like env for DL evaluation.
on the page mentioned above, it is said to download the already existing mobilenetv2 model. But that is for image classification for animal, object, etc. while i want to change that model to detect something else. Can you explain your model architecture like CNN layers and FNN layers. and top of mobilenet which dataset you guys use for training for this application.