3 examples of 'np random normal' in Python
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137 def rand_normal(self, shape, mean=0.0, stddev=1.0): 138 import pdfinsight.ai.yolo_tf.src.tools.pyolo as pyolo 139 n_dims = 1 140 for dim in shape: 141 n_dims *= dim 142 array = numpy.zeros((n_dims, ), dtype='float32') 143 144 for i in range(n_dims): 145 array[i] = pyolo.rand_normal() 146 147 array = numpy.reshape(array, shape) 148 149 return array
124 def random_normal(self, shape, mean=0.0, stddev=1.0, dtype=None, seed=None): 125 np.random.seed(seed) 126 dtype = dtype or self.floatx() 127 return np.random.normal(size=shape, loc=mean, scale=stddev).astype(dtype)
18 def normal_init(shape, sigma): 19 W = np.random.normal(0.0, sigma, shape) 20 return W.astype(dtype)