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33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
from manim import *
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from PIL import Image
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from manim_ml.neural_network.layers import EmbeddingLayer, FeedForwardLayer, ImageLayer
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from manim_ml.neural_network.neural_network import NeuralNetwork
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config.pixel_height = 720
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config.pixel_width = 1280
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config.frame_height = 8.0
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config.frame_width = 8.0
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class VariationalAutoencoderScene(Scene):
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def construct(self):
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embedding_layer = EmbeddingLayer(dist_theme="ellipse").scale(2)
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image = Image.open('images/image.jpeg')
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numpy_image = np.asarray(image)
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# Make nn
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neural_network = NeuralNetwork([
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ImageLayer(numpy_image, height=1.4),
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FeedForwardLayer(5),
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FeedForwardLayer(3),
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embedding_layer,
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FeedForwardLayer(3),
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FeedForwardLayer(5),
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ImageLayer(numpy_image, height=1.4),
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], layer_spacing=0.1)
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neural_network.scale(1.3)
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self.play(Create(neural_network), run_time=3)
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self.play(neural_network.make_forward_pass_animation(), run_time=5)
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self.play(neural_network.make_forward_pass_animation(), run_time=5) |