如何使keras模型显示概率，例如jq -cr '([.ps] | @tsv) + "\t" + tostring'
而不是[0.3,0.1,0.6]。 keras模型如下所示。我在最后一层使用softmax，但是我不确定我在做什么。
[0.,0.,1.]这是我运行model = Sequential()
model.add(Conv2D(32,(3, 3),activation='relu',input_shape=train_tensors[0].shape))
model.add(MaxPooling2D(pool_size=(2, 2), strides=None, padding='same'))
model.add(Dropout(0.2))
model.add(Conv2D(64, (3,3), activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 2), strides=None, padding='same'))
model.add(Dropout(0.2))
model.add(Conv2D(128, (3,3), activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 2), strides=None, padding='same'))
model.add(Dropout(0.2))
model.add(Flatten())
model.add(Dense(64, activation='relu'))
model.add(Dropout(0.3))
model.add(Dense(133, activation='softmax'))
model.summary()
model.compile(optimizer='rmsprop', loss='categorical_crossentropy', metrics=['accuracy'])
model.fit(train_tensors, train_targets,
validation_data=(valid_tensors, valid_targets),
epochs=epochs, batch_size=20, callbacks=[checkpointer], verbose=1)
model.predict(img)