self.DL.(03-1). CNN (합성곱 신경망)실습_MNIST

V2LLAIN 2023. 1. 18. 20:25

2023. 1. 18. 20:25

<손글씨 인식 model>

cf. print(model.evaluate(X_train, y_train))를 쳐보면 다음과 같은 출력이 나온다.

1875/1875 [==============================] - 2s 1ms/step - loss: 1.0363e-06 - accuracy: 1.0000
[1.0362750799686182e-06, 1.0]

즉, model.evaluate(X_train, y_train)[0]은 loss, model.evaluate(X_train, y_train)[1]은 정확도인 것을 알 수 있다.

self.DL.(04-1). RNN (순환 신경망)실습_IMDB (0)	2023.01.19
self.DL.(04). RNN, LSTM, GRU (Recurrent Neural Network, Long Short Term Memory, Gated Recurrent Unit) (0)	2023.01.18
self.DL.(03). CNN (Convolution Neural Network) (0)	2023.01.18
self.DL.(02-3). regression (회귀신경망)실습 (0)	2023.01.18
self.DL.(02-2). classification (분류신경망)실습 (0)	2023.01.18

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