In [3]:
import numpy as np
In [12]:
x1 = np.array([1.,2.,3.])
x2 = np.array([4.,5.,6.])
x1.dot(x2)
Out[12]:
In [14]:
x1 = np.array([1.,2.,3.])
x2 = np.array([7., 8., 9., 10.])
x1.dot(x2)
In [16]:
def _squared(n):
return np.power(2., np.arange(1 , n + 1., 1) * -1)
def _sin(n):
return np.sin(np.pi * 3. * np.arange(1 , n + 1., 1) / 2.)
x1 = _squared(3.)
x2 = _sin(3.) * 3
x1.dot(x2)
Out[16]:
In [31]:
a = np.array([1., 2., 3.])
b = np.array([4., 5., 6.])
1 / (1+np.exp(-30))
Out[31]:
In [33]:
a * 3
Out[33]:
In [ ]:
np.linspace()