I'm doing an ML/Tensorflow hello world by working with the MNIST dataset to predict what kind of clothing something is, but when I try to load the data into my doe using data.load_data() it gives me this error:
Using TensorFlow backend. Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz Traceback (most recent call last): File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 1317, in do_open encode_chunked=req.has_header('Transfer-encoding')) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 1229, in request self._send_request(method, url, body, headers, encode_chunked) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 1275, in _send_request self.endheaders(body, encode_chunked=encode_chunked) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 1224, in endheaders self._send_output(message_body, encode_chunked=encode_chunked) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 1016, in _send_output self.send(msg) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 956, in send self.connect() File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 1392, in connect server_hostname=server_hostname) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/ssl.py", line 412, in wrap_socket session=session File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/ssl.py", line 853, in _create self.do_handshake() File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/ssl.py", line 1117, in do_handshake self._sslobj.do_handshake() ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1056)
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/Users/NAME/MNISTifying Clothing Predictor/lib/python3.7/site-packages/tensorflow_core/python/keras/utils/data_utils.py", line 264, in get_file urlretrieve(origin, fpath, dl_progress) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 247, in urlretrieve with contextlib.closing(urlopen(url, data)) as fp: File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 222, in urlopen return opener.open(url, data, timeout) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 525, in open response = self._open(req, data) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 543, in _open '_open', req) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 503, in _call_chain result = func(*args) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 1360, in https_open context=self._context, check_hostname=self._check_hostname) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 1319, in do_open raise URLError(err) urllib.error.URLError:
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/Users/NAME/Python Projects/MNISTifying Clothing Predictor/MNISTifying Clothing Predictor.py", line 10, in (train_images, train_labels), (test_images, test_labels) = data.load_data() File "/Users/NAME/MNISTifying Clothing Predictor/lib/python3.7/site-packages/tensorflow_core/python/keras/datasets/fashion_mnist.py", line 52, in load_data paths.append(get_file(fname, origin=base + fname, cache_subdir=dirname)) File "/Users/NAME/MNISTifying Clothing Predictor/lib/python3.7/site-packages/tensorflow_core/python/keras/utils/data_utils.py", line 268, in get_file raise Exception(error_msg.format(origin, e.errno, e.reason)) Exception: URL fetch failure on https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz: None -- [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1056)
This is my code: This is my code typed out:
Import tensorflow as tf from tensorflow import keras from keras.datasets import fashion_mnist import numpy as np import matplotlib.pyplot as plt
data = keras.datasets.fashion_mnist
(train_images, train_labels), (test_images, test_labels) = data.load_data()
print(train_labels1)