Exemplo n.º 1
0
if '__file__' in globals():
	import sys, os
	sys.path.append(os.path.join(os.path.dirname(__file__), '..'))

import numpy as np
from my_dezero import Variable
import my_dezero.functions as F

x = Variable(np.array([[1,2,3], [4,5,6]]))
y = F.sum(x)
#y.backward()
print(y)
#print(x.grad)

x = np.array(([[1,2,3],[4,5,6]]))
y = np.sum(x, axis=0)
print(y)
print(x.shape, '->', y.shape)

x = np.array([[1,2,3], [4,5,6]])
y = np.sum(x, keepdims=True)
print(y)
print(y.shape)  # 2次元のまま

# Dezeroのsum関数でも2つの引数を指定できるように修正
x = Variable(np.array([[1,2,3], [4,5,6]]))
y = x.sum(axis=0)
print(y)

x = Variable(np.random.randn(2,3,4,5))
y = x.sum(keepdims=True)
Exemplo n.º 2
0
def softmax1d(x):
	c = as_variable(as_array(np.max(x)))  # over flow対策
	x = as_variable(x)
	y = F.exp(x-c)
	sum_y = F.sum(y)
	return y / sum_y
Exemplo n.º 3
0
def mean_square_error(x0, x1):
    diff = x0 - x1
    return F.sum(diff**2) / len(diff)
Exemplo n.º 4
0
if '__file__' in globals():
	import sys, os
	sys.path.append(os.path.join(os.path.dirname(__file__), '..'))

import numpy as np
import matplotlib.pyplot as plt
from my_dezero import Variable
import my_dezero.functions as F

x = Variable(np.array([[1,2,3], [4,5,6]]))
y = F.sin(x)
print(y)

c = Variable(np.array([[10,20,30], [40,50,60]]))
y = x + c
print(y)

x = Variable(np.array([[1,2,3], [4,5,6]]))
c = Variable(np.array([[10,20,30], [40,50,60]]))
t = x + c
y = F.sum(t)

y.backward(retain_grad=True)
print(y.grad)
print(t.grad)
print(x.grad)
print(c.grad)
Exemplo n.º 5
0
def f(x):
	t = x ** 2
	y = F.sum(t)
	return t