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@@ -15,6 +15,6 @@ Full credits to: [Aakash Kumar Nain](https://twitter.com/A_K_Nain)
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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 so it's best if you could refer to [this guide](https://keras.io/guides/making_new_layers_and_models_via_subclassing/).
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  ![ocr](https://keras.io/img/examples/vision/captcha_ocr/captcha_ocr_19_1.png)
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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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  ![ocr](https://keras.io/img/examples/vision/captcha_ocr/captcha_ocr_19_1.png)
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