Created
August 24, 2015 14:05
-
-
Save casperkaae/5bc673469830aa4a3ce3 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
class LinearLayer(): | |
def __init__(self, num_inputs, num_units, scale=0.01): | |
self.num_units = num_units | |
self.num_inputs = num_inputs | |
self.W = np.random.random((num_inputs, num_units)) * scale | |
self.b = np.zeros(num_units) | |
def __str__(self): | |
return "LinearLayer(%i, %i)" % (self.num_inputs, self.num_units) | |
def fprop(self, x, *args): | |
self.x = x | |
self.a = np.dot(x, self.W) + self.b | |
return self.a | |
def bprop(self, delta_in): | |
x_t = np.transpose(self.x) | |
self.grad_W = np.dot(x_t, delta_in) | |
self.grad_b = delta_in.sum(axis=0) | |
W_T = np.transpose(self.W) | |
self.delta_out = np.dot(delta_in,W_T) | |
return self.delta_out | |
def update_params(self, lr): | |
self.W = self.W - self.grad_W*lr | |
self.b = self.b - self.grad_b*lr |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment