下面是代碼的Keras文檔頁面: from keras.applications.vgg16 import VGG16
from keras.preprocessing import image
from keras.applications.vgg16 import preprocess_input
import numpy as np
model = VGG16(weights='i
這是我在Python代碼: with open('my.csv', 'a', newline='') as fp:
writer = csv.writer(fp, delimiter=',')
writer.writerow(('Users','Date','Location'))
for row in my_dict.items():
writer.writerow(row)
data = {"index":{"0":1692,"1":1771,"2":1007,"3":2915,"4":1416},
"item_number":{"0":"123","1":"123","2":"124","3":"124","4":"125"},
"brand":{"0":"brand1","1":"brand1","2":"brand2","3":"brand2","4":"b
我製作了一個新的API應用程序來爲我的Web應用程序提供所有API請求。所以我想先做一些簡單的事情,然後以JSON的形式返回一個DataFrame對象。我也使用Django Rest框架庫。 我urls.py from django.conf.urls import url, include
from rest_framework import routers
from api import