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README.md
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license: openrail
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license: openrail
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Model Architecture:
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The model is a sequential model in TensorFlow/Keras.
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Input Layer: A Flatten layer that transforms the input images of size (28, 28) into a flat vector.
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Hidden Layers: The model has two fully connected hidden layers with 512 and 256 neurons, respectively, using the ReLU activation function.
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Output Layer: A fully connected layer with 10 neurons using the Softmax activation function for the task of classifying into 10 clothing categories in Fashion MNIST.
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Model Statistics:
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Loss on the test dataset: 0.4328601062297821.
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Accuracy on the test dataset: 0.8863000273704529.
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I'm still learning, in this model I'm trying to use validation set
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