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import tensorflow as tf import matplotlib.pyplot as plt import numpy as np tf.set_random_seed(1) np.random.seed(1) n_data = np.ones((100, 2)) x0 = np.random.normal(2*n_data, 1) # class0 x shape=(100, 2)
By referring to the documentation, we can know the defination: def normal(loc=0.0, scale=1.0, size=None):
but how to understand"np.random.normal(2*n_data, 1)",please
The text was updated successfully, but these errors were encountered:
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By referring to the documentation, we can know the defination:
def normal(loc=0.0, scale=1.0, size=None):
but how to understand"np.random.normal(2*n_data, 1)",please
The text was updated successfully, but these errors were encountered: