keras.iris(분류)

import numpy as np
import keras
from keras.models import Sequential
from keras.layers import Dense

# data 준비

X = iris.data[:100]
y = iris.target[:100]

 

 

model=Sequential()
model.add(Dense(1,input_shape=(4,),activation='sigmoid'))
from keras.optimizers import SGD
model.compile(loss='binary_crossentropy',optimizer=SGD(lr=0.1),metrics=['acc'])
# metrics=['acc'] : 화면 출력 할 때 정확도도 출력해라!(history에서 확인 가능)
model.fit(X,y,epochs=1000)

 

 

plt.plot(model.history.history['loss'])