具有类型为testdict = [{"brand": "ford", "model": "Mustang", "year": 1964},
{"brand": "ford", "model": "Mustang", "year": 1965},
{"brand": "ford", "model": "Mustang", "year": 1966},
{"brand": "ford", "model": "Mustang", "year": 1967},
{"brand": "ford", "model": "Mustang", "year": 1968},
{"brand": "ford", "model": "Mustang"},
{"brand": "ford", "model": "Mustang", "year": 1970},
{"brand": "ford", "model": "Mustang", "year": 1971},
{"brand": "ford", "model": "Mustang", "year": 1972},
{"brand": "ford", "model": "Mustang", "year": 1973},
{"brand": "ford", "model": "Mustang", "year": 1974},]
for x in testdict:
print(x["brand"], x["year"])
的图像数据集。如果我将这些图像转换为数据类型uint8，float16，float32。现在，将相同的体系结构分别应用于所有这些数据类型。我会得到相同的精度/损耗图，还是数据类型会影响这些图？