我要求您将链接发送到具有现成训练神经网络的来源。不管它们是如何分布的,在公共领域或收费,主要是神经网络的名称和关于它的描述,它的作用,它是如何训练的,等等。最好详细一点。还有几张带有工作示例的照片。是的,我用谷歌搜索过,但大多数资源都显示了如何编写自己的网络,我需要现成的网络。谢谢你。
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Vadim Yermolenko's questions
我想以这样一种方式实现脚本,即一个人输入源文件的路径、目标文件的路径、源文件和目标文件,而不干扰代码。该脚本接受值,但在打开文件时,该脚本会引发错误。这是代码
path = [0] * 2
sourcefile = 0
destinationfile = 0
print("Please write your source path:")
input(path[0])
print("Please write your destination path:")
input(path[1])
print("Source name of your file is ")
input(sourcefile)
print("Destination name of your file is ")
input(destinationfile)
with open(r"%s"+"%s" % (path[0], sourcefile), 'r') as file_in:
问题从此刻开始with open。谁知道,请帮忙。
我有一个包含以下内容的文件:
CREATE TABLE some_name (
fv int,
sv int,
tv int)
CLUSTERED BY (fv,
sv,
tv)
SORTED BY (fv,
sv,
tv) INTO 2 BUCKETS;
-- more text afterwards
例如,我需要确保脚本会删除从 Clustered inclusive 到 Buckets inclusive 的所有单词,但不会删除分号。代码如何实现?我被提供了这个:
start_word = "CLUSTERED"
end_word = "BUCKETS"
result_lines = []
with open(target_file, 'r') as f:
erasing = False
for line in f:
if not erasing and start_word in line:
// begin erasing lines
erasing = True
continue
if erasing and end_word in line:
// finished erasing lines
erasing = False
continue
if erasing:
// we are between the start and end of the section we want to erase
continue
else:
// either we haven't started erasing or we have already finished
result_lines.append(line)
print('\n'.join(result_lines))
但它会删除分号,一般来说,所有与 Clustered 和 Buckets 一致的东西都会被删除。结果应该是这样的:
CREATE TABLE some_name (
fv int,
sv int,
tv int)
-- more text afterwards;