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ImageRecognition with PyTorch

Riconoscimento delle immagini con una rete CNN.

URL: dataset https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_5340.zip

https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_5340.zip List filespresentiAssociaclassePreleva il 100%delle immaginiconversioneclass in numero80/20output >= 0.5 Catoutput < 0.5 DogFiltro colonned'interesse32x32x3Filter 16,16Kernel 3,3strides 1,1ReLUPool Size 2,2strides 2,2Filter 16,16Kernel 3,3strides 1,1ReLUPool Size 2,2strides 2,2FlattenUnit 128ReLUSigmoidApprendimentoPredizioneScoreScritturaModelloCreo envpyTorchCarico immagini List Files/Folders Path to String Rule Engine Row Sampling Rule Engine Partitioning Rule Engine Column Filter Keras Input Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Flatten Layer Keras Dense Layer Keras Dense Layer Keras NetworkLearner Keras NetworkExecutor Scorer (JavaScript) Keras NetworkWriter Conda EnvironmentPropagation Python Script(legacy) https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_5340.zip List filespresentiAssociaclassePreleva il 100%delle immaginiconversioneclass in numero80/20output >= 0.5 Catoutput < 0.5 DogFiltro colonned'interesse32x32x3Filter 16,16Kernel 3,3strides 1,1ReLUPool Size 2,2strides 2,2Filter 16,16Kernel 3,3strides 1,1ReLUPool Size 2,2strides 2,2FlattenUnit 128ReLUSigmoidApprendimentoPredizioneScoreScritturaModelloCreo envpyTorchCarico immaginiList Files/Folders Path to String Rule Engine Row Sampling Rule Engine Partitioning Rule Engine Column Filter Keras Input Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Flatten Layer Keras Dense Layer Keras Dense Layer Keras NetworkLearner Keras NetworkExecutor Scorer (JavaScript) Keras NetworkWriter Conda EnvironmentPropagation Python Script(legacy)

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