mirror of
https://github.com/helblazer811/ManimML.git
synced 2025-05-18 03:05:23 +08:00
81 lines
2.2 KiB
Python
81 lines
2.2 KiB
Python
from manim import *
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from manim_ml.neural_network.animations.dropout import (
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make_neural_network_dropout_animation,
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)
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from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer
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from manim_ml.neural_network.layers.image import ImageLayer
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from PIL import Image
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from manim_ml.neural_network.neural_network import NeuralNetwork
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import numpy as np
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config.pixel_height = 1200
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config.pixel_width = 1900
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config.frame_height = 5.0
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config.frame_width = 5.0
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def make_code_snippet():
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code_str = """
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nn = NeuralNetwork([
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FeedForwardLayer(3),
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FeedForwardLayer(5),
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FeedForwardLayer(3),
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FeedForwardLayer(5),
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FeedForwardLayer(4),
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])
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self.play(
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make_neural_network_dropout_animation(
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nn, dropout_rate=0.25, do_forward_pass=True
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)
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)
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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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language="py",
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)
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code.scale(0.28)
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return code
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class DropoutNeuralNetworkScene(Scene):
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def construct(self):
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# Make nn
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nn = NeuralNetwork(
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[
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FeedForwardLayer(3, rectangle_color=BLUE),
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FeedForwardLayer(5, rectangle_color=BLUE),
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FeedForwardLayer(3, rectangle_color=BLUE),
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FeedForwardLayer(5, rectangle_color=BLUE),
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FeedForwardLayer(4, rectangle_color=BLUE),
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],
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layer_spacing=0.4,
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)
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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_snippet = make_code_snippet()
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self.add(code_snippet)
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code_snippet.next_to(nn, DOWN * 0.7)
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Group(code_snippet, nn).move_to(ORIGIN)
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# Play animation
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self.play(
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make_neural_network_dropout_animation(
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nn, dropout_rate=0.25, do_forward_pass=True
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)
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)
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self.wait(1)
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if __name__ == "__main__":
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"""Render all scenes"""
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dropout_nn_scene = DropoutNeuralNetworkScene()
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dropout_nn_scene.render()
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