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I am new to deep learning and I'm currently working on a personal project to consolidate what I've learnt so far. This tutorial mostly focused on classification of images for examples using multi-class classification. I wondering if this applies to text recognition or will it be a binary classification. If the text I was going to recognize was English, I could easily create 26 classes for predicting each character in a text, but the text I want to recognize is Chinese and there are just too many Chinese characters. Please any suggestions on how to start would be appreciated.
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I am new to deep learning and I'm currently working on a personal project to consolidate what I've learnt so far. This tutorial mostly focused on classification of images for examples using multi-class classification. I wondering if this applies to text recognition or will it be a binary classification. If the text I was going to recognize was English, I could easily create 26 classes for predicting each character in a text, but the text I want to recognize is Chinese and there are just too many Chinese characters. Please any suggestions on how to start would be appreciated.
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