Working neural network test with refactor

This commit is contained in:
Alec Helbling
2022-04-02 19:20:30 -04:00
parent 861ae77002
commit 61b47798f3
4 changed files with 63 additions and 12 deletions

View File

@ -24,16 +24,17 @@ class ConnectiveLayer(NeuralNetworkLayer):
class FeedForwardToFeedForward(ConnectiveLayer):
def __init__(self, input_layer, output_layer, passing_flash=True,
dot_radius=0.05, animation_dot_count=RED, edge_color=WHITE,
dot_radius=0.05, animation_dot_color=RED, edge_color=WHITE,
edge_width=0.5):
super(FeedForwardToFeedForward, self).__init__(input_layer, output_layer)
super().__init__(input_layer, output_layer)
self.passing_flash = passing_flash
self.edge_color = edge_color
self.dot_radius = dot_radius
self.animation_dot_count = animation_dot_count
self.animation_dot_color = animation_dot_color
self.edge_width = edge_width
self.construct_edges()
self.edges = self.construct_edges()
self.add(self.edges)
def construct_edges(self):
# Go through each node in the two layers and make a connecting line
@ -42,26 +43,33 @@ class FeedForwardToFeedForward(ConnectiveLayer):
for node_j in self.output_layer.node_group:
line = Line(node_i.get_center(), node_j.get_center(),
color=self.edge_color, stroke_width=self.edge_width)
self.add(line)
edges.append(line)
self.edges = VGroup(*edges)
edges = VGroup(*edges)
return edges
def make_forward_pass_animation(self, run_time=1):
"""Animation for passing information from one FeedForwardLayer to the next"""
path_animations = []
dots = []
for edge in self.edges:
dot = Dot(color=self.animation_dot_color, fill_opacity=1.0, radius=self.dot_radius)
# Handle layering
dot.set_z_index(1)
# Add to dots group
self.dots.add(dot)
dots.append(dot)
# Make the animation
if self.passing_flash:
print("passing flash")
anim = ShowPassingFlash(edge.copy().set_color(self.animation_dot_color), time_width=0.2, run_time=3)
else:
anim = MoveAlongPath(dot, edge, run_time=run_time, rate_function=sigmoid)
path_animations.append(anim)
if not self.passing_flash:
dots = VGroup(*dots)
self.add(dots)
path_animations = AnimationGroup(*path_animations)
return path_animations