10 lines
303 B
Python
10 lines
303 B
Python
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from sklearn import datasets
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import numpy as np
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X, y = datasets.fetch_openml('mnist_784', version=1, return_X_y=True, cache=True, as_frame= False)
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print(X,y)
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gen:np.random.Generator = np.random.default_rng()
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input_var = Variable(X)
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weight = Variable(gen.normal(100,784))
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bias = Variable(np.array([1]))
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