해당 강의에서 다음 코드를 수행하였습니다. from tensorflow.keras.datasets import fashion_mnist # 전체 6만개 데이터 중, 5만개는 학습 데이터용, 1만개는 테스트 데이터용으로 분리 (train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data() 하지만 아래와 같은 에러(exception) 이 발생하였고, 다음 셀 역시 수행되지 않습니다. 이런 경우 어떻게 대처해야할지 알려주시면 감사하겠습니다. --------------------------------------------------------------------------- gaierror Traceback (most recent call last) /opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args) 1349 h.request(req.get_method(), req.selector, req.data, headers, -> 1350 encode_chunked=req.has_header('Transfer-encoding')) 1351 except OSError as err: # timeout error /opt/conda/lib/python3.7/http/client.py in request(self, method, url, body, headers, encode_chunked) 1276 """Send a complete request to the server.""" -> 1277 self._send_request(method, url, body, headers, encode_chunked) 1278 /opt/conda/lib/python3.7/http/client.py in _send_request(self, method, url, body, headers, encode_chunked) 1322 body = _encode(body, 'body') -> 1323 self.endheaders(body, encode_chunked=encode_chunked) 1324 /opt/conda/lib/python3.7/http/client.py in endheaders(self, message_body, encode_chunked) 1271 raise CannotSendHeader() -> 1272 self._send_output(message_body, encode_chunked=encode_chunked) 1273 /opt/conda/lib/python3.7/http/client.py in _send_output(self, message_body, encode_chunked) 1031 del self._buffer[:] -> 1032 self.send(msg) 1033 /opt/conda/lib/python3.7/http/client.py in send(self, data) 971 if self.auto_open: --> 972 self.connect() 973 else: /opt/conda/lib/python3.7/http/client.py in connect(self) 1438 -> 1439 super().connect() 1440 /opt/conda/lib/python3.7/http/client.py in connect(self) 943 self.sock = self._create_connection( --> 944 (self.host,self.port), self.timeout, self.source_address) 945 self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1) /opt/conda/lib/python3.7/socket.py in create_connection(address, timeout, source_address) 706 err = None --> 707 for res in getaddrinfo(host, port, 0, SOCK_STREAM): 708 af, socktype, proto, canonname, sa = res /opt/conda/lib/python3.7/socket.py in getaddrinfo(host, port, family, type, proto, flags) 751 addrlist = [] --> 752 for res in _socket.getaddrinfo(host, port, family, type, proto, flags): 753 af, socktype, proto, canonname, sa = res gaierror: [Errno -3] Temporary failure in name resolution During handling of the above exception, another exception occurred: URLError Traceback (most recent call last) /opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/utils/data_utils.py in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir) 274 try: --> 275 urlretrieve(origin, fpath, dl_progress) 276 except HTTPError as e: /opt/conda/lib/python3.7/urllib/request.py in urlretrieve(url, filename, reporthook, data) 246 --> 247 with contextlib.closing(urlopen(url, data)) as fp: 248 headers = fp.info() /opt/conda/lib/python3.7/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context) 221 opener = _opener --> 222 return opener.open(url, data, timeout) 223 /opt/conda/lib/python3.7/urllib/request.py in open(self, fullurl, data, timeout) 524 --> 525 response = self._open(req, data) 526 /opt/conda/lib/python3.7/urllib/request.py in _open(self, req, data) 542 result = self._call_chain(self.handle_open, protocol, protocol + --> 543 '_open', req) 544 if result: /opt/conda/lib/python3.7/urllib/request.py in _call_chain(self, chain, kind, meth_name, *args) 502 func = getattr(handler, meth_name) --> 503 result = func(*args) 504 if result is not None: /opt/conda/lib/python3.7/urllib/request.py in https_open(self, req) 1392 return self.do_open(http.client.HTTPSConnection, req, -> 1393 context=self._context, check_hostname=self._check_hostname) 1394 /opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args) 1351 except OSError as err: # timeout error -> 1352 raise URLError(err) 1353 r = h.getresponse() URLError: <urlopen error [Errno -3] Temporary failure in name resolution> During handling of the above exception, another exception occurred: Exception Traceback (most recent call last) <ipython-input-26-8cfb83a588da> in <module> 3 4 # 전체 6만개 데이터 중, 5만개는 학습 데이터용, 1만개는 테스트 데이터용으로 분리 ----> 5 (train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data() 6 7 # image size는 28x28의 grayscale 2차원 데이터 /opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/datasets/fashion_mnist.py in load_data() 73 paths = [] 74 for fname in files: ---> 75 paths.append(get_file(fname, origin=base + fname, cache_subdir=dirname)) 76 77 with gzip.open(paths[0], 'rb') as lbpath: /opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/utils/data_utils.py in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir) 277 raise Exception(error_msg.format(origin, e.code, e.msg)) 278 except URLError as e: --> 279 raise Exception(error_msg.format(origin, e.errno, e.reason)) 280 except (Exception, KeyboardInterrupt) as e: 281 if os.path.exists(fpath): Exception: URL fetch failure on https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz: None -- [Errno -3] Temporary failure in name resolution