wut fit

wut-ml

@@ -54,6 +54,8 @@ model.compile(loss='binary_crossentropy',
               optimizer='rmsprop',
               metrics=['accuracy'])
 
+model.fit(x=train_it, validation_data=val_it, epochs=1, verbose=2, workers=8, use_multiprocessing=True)
+
 prediction = model.predict(x=test_it, batch_size=None, verbose=0, steps=None, use_multiprocessing=True)
 print(prediction)