Prerequisites:īefore we begin, you will need to have the following software installed: The blank symbol is used to align the input and output sequences and allows the model to predict characters in the correct order, even if there are skips or repetitions in the input sequence. The CTC loss function is based on a "blank" symbol, a special symbol that can be inserted between characters in the output sequence. The CTC loss function is beneficial when the length of the input and output sequences are different, such as in the case of handwritten sentence recognition, where the length of the handwritten text in the image may be different from the length of the transcribed text. It is designed to handle sequence data, such as text, and can be used to train a model to recognize handwritten text. This technique in more detail I explained in my previous tutorials.ĬTC loss, or Connectionist Temporal Classification loss, is a loss function used in machine learning for tasks such as handwriting recognition and speech recognition. One such method is the use of TensorFlow and CTC loss. Handwritten sentence recognition can be accomplished by using various techniques and methods. This can reduce the time spent on administrative work, freeing educators to focus on other responsibilities. Automating exam grading: Exam grading can also be done with handwritten sentence recognition.Researchers and the general public can use handwritten sentence recognition to transcribe these documents and make them more accessible
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