Alcuni notebook di reti neurali convoluzionali con Tensorflow, Keras e TFlite per la riproduzione di alcuni layers utilizzati in GoogleNet e SqueezeNet rispetto a classificazioni binarie di immagini
License: MIT License
Il training per ogni modello è stato effettuato con un numero di epoche molto limitato (non sufficiente), lo scopo dei notebooks è solo quello di velocizzare la scrittura di codice ad hoc per poi rifare il training adeguato.
TENSORFLOW LITE
TENSORFLOW
KERAS
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