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https://github.com/helblazer811/ManimML.git
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74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
from manim import *
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from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer
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from manim_ml.neural_network.layers.math_operation_layer import MathOperationLayer
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from manim_ml.neural_network.neural_network import NeuralNetwork
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# Make the specific scene
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config.pixel_height = 1200
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config.pixel_width = 1900
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config.frame_height = 6.0
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config.frame_width = 6.0
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def make_code_snippet():
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code_str = """
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nn = NeuralNetwork({
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"feed_forward_1": FeedForwardLayer(3),
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"feed_forward_2": FeedForwardLayer(3, activation_function="ReLU"),
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"feed_forward_3": FeedForwardLayer(3),
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"sum_operation": MathOperationLayer("+", activation_function="ReLU"),
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})
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nn.add_connection("feed_forward_1", "sum_operation")
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self.play(nn.make_forward_pass_animation())
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"""
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code = Code(
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code=code_str,
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tab_width=4,
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background_stroke_width=1,
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background_stroke_color=WHITE,
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insert_line_no=False,
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style="monokai",
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# background="window",
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language="py",
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)
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code.scale(0.38)
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return code
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class CombinedScene(ThreeDScene):
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def construct(self):
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# Add the network
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nn = NeuralNetwork({
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"feed_forward_1": FeedForwardLayer(3),
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"feed_forward_2": FeedForwardLayer(3, activation_function="ReLU"),
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"feed_forward_3": FeedForwardLayer(3),
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"sum_operation": MathOperationLayer("+", activation_function="ReLU"),
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},
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layer_spacing=0.38
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)
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# Make connections
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input_blank_dot = Dot(
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nn.input_layers_dict["feed_forward_1"].get_left() - np.array([0.65, 0.0, 0.0])
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)
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nn.add_connection(input_blank_dot, "feed_forward_1", arc_direction="straight")
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nn.add_connection("feed_forward_1", "sum_operation")
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output_blank_dot = Dot(
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nn.input_layers_dict["sum_operation"].get_right() + np.array([0.65, 0.0, 0.0])
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)
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nn.add_connection("sum_operation", output_blank_dot, arc_direction="straight")
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# Center the nn
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nn.move_to(ORIGIN)
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self.add(nn)
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# Make code snippet
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code = make_code_snippet()
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code.next_to(nn, DOWN)
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self.add(code)
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# Group it all
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group = Group(nn, code)
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group.move_to(ORIGIN)
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# Play animation
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forward_pass = nn.make_forward_pass_animation()
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self.wait(1)
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self.play(forward_pass) |