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AyishaR/glass_prediction.py

Created January 16, 2021 17:56
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glass_prediction.py
# pick random test data sample from one batch
x = random.randint(0, len(Xtest) - 1)
output = model.predict(Xtest[x].reshape(1, -1))[0]
pred = (output>0.5).astype('int')[0] # finding category
print("Predicted: ", pred, "(", output[0], "-->", pred, ")")
print("True: ", ytest[x][0])
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