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import matplotlib.pyplot as plt from sklearn.datasets import fetch_mldata from sklearn.neural_network import MLPClassifier
mnist = fetch_mldata("MNIST original")
X, y = mnist.data / 255., mnist.target X_train, X_test = X[:60000], X[60000:] y_train, y_test = y[:60000], y[60000:]
HTTPError: HTTP Error 404: Dataset 'mnist-original' not found on mldata.org.
The text was updated successfully, but these errors were encountered:
链接: https://pan.baidu.com/s/1OpOn3bzatFYHR3BivaSkQg 提取码: apgj
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import matplotlib.pyplot as plt
from sklearn.datasets import fetch_mldata
from sklearn.neural_network import MLPClassifier
mnist = fetch_mldata("MNIST original")
rescale the data, use the traditional train/test split
X, y = mnist.data / 255., mnist.target
X_train, X_test = X[:60000], X[60000:]
y_train, y_test = y[:60000], y[60000:]
HTTPError: HTTP Error 404: Dataset 'mnist-original' not found on mldata.org.
The text was updated successfully, but these errors were encountered: