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## Background Information
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This example demonstrates a simple OCR model built with the Functional API. Apart from combining CNN and RNN, it also illustrates how you can instantiate a new layer and use it as an "Endpoint layer" for implementing CTC loss.
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This model uses subclassing
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
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## Background Information
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This example demonstrates a simple OCR model built with the Functional API. Apart from combining CNN and RNN, it also illustrates how you can instantiate a new layer and use it as an "Endpoint layer" for implementing CTC loss.
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This model uses subclassing, learn more about subclassing from [this guide](https://keras.io/guides/making_new_layers_and_models_via_subclassing/).
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
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