create parameter directories if not existent
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5
train.py
5
train.py
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@ -1,6 +1,7 @@
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import mlx.core as mx
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import numpy as np
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import math
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import os
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# Functions shared by both the training and the testing scripts.
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from common import *
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@ -186,6 +187,10 @@ for epoch in range(EPOCHS):
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LEARNING_RATE *= 0.99
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print("\nTraining complete.")
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if not os.path.exists("weights"):
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os.makedirs("weights")
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if not os.path.exists("biases"):
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os.makedirs("biases")
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np.savetxt("weights/weights1.txt", np.array(W1))
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np.savetxt("biases/biases1.txt", np.array(b1))
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for i in range(HIDDEN_LAYERS):
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