python cnn 交叉驗證 - iT 邦&#x

python cnn 交叉驗證
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list_of_ans=[]
img=cv2.imread(directory_name+"/"+filename)
img_resize = cv2.resize(img,(32,32))
list_of_img.append(img_resize)
list_of_ans.append(int(filename.split('.')[0])-1)
array_of_img = np.array(list_of_img,dtype="float32")
return(array_of_img,list_of_ans)
指定亂數種子
(input_train,target_train)=read_directory(r"C:\Users\COSH\Desktop\Ch09\train")
(input_test, target_test)=read_directory(r"C:\Users\COSH\Desktop\Ch09\test")
input_shape = (img_width, img_height, img_num_channels)
epochs=10
因為是固定範圍, 所以執行正規化, 從 0-255 至 0-1
input_train = input_train.astype("float32") / 255
input_test = input_test.astype("float32") / 255
acc_per_fold = []

Related Keywords

, K Fold Cross , Cross Validation , குறுக்கு சரிபார்த்தல் ,