bumped into one of the OG reads today!! handwriting generation & synthesis is still my favorite application of RNNs - supper amazed at how such a small model (3.6M params), trained overnight on cpu could reach such peak performance. Huge credit to the data (IAM-OnDB🔥) which was meticulously curated using an infra-red device to track pen position. 
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bumped into one of the OG reads today!! handwriting generation & synthesis is still my favorite application of RNNs - supper amazed at how such a small model (3.6M params), trained overnight on cpu could reach such peak performance. Huge credit to the data (IAM-OnDB🔥) which was meticulously curated using an infra-red device to track pen position. 
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Try demo here: 
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Try demo here: 
https://www.calligrapher.ai/
https://www.calligrapher.ai/
link
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Code: 
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Code: 
https://github.com/sjvasquez/handwriting-synthesis
https://github.com/sjvasquez/handwriting-synthesis
link
bumped into one of the OG reads today!! handwriting generation & synthesis is still my favorite application of RNNs - supper amazed at how such a small model (3.6M params), trained overnight on cpu could reach such peak performance. Huge credit to the data (IAM-OnDB🔥) which was meticulously curated using an infra-red device to track pen position. 
Try demo here: https://www.calligrapher.ai/
Code: https://github.com/sjvasquez/handwriting-synthesis
👍
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