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--- |
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license: openrail |
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datasets: |
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- fashion_mnist |
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metrics: |
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- accuracy |
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library_name: keras |
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tags: |
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- art |
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--- |
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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 |
