Скачать или смотреть Handwriteen Text Generation

Handwritten Text Generation using RNN
github : https://github.com/itzsTushar/CodSoft/tree...

This project focuses on generating *realistic handwritten text* using a *Recurrent Neural Network (RNN)* architecture inspired by Alex Graves’ paper “Generating Sequences with Recurrent Neural Networks.” The model learns to produce smooth, human-like handwriting by predicting pen stroke sequences conditioned on textual input.

Due to *limited GPU access on Google Colab**, the model was trained for **12 epochs**. The setup used **PyTorch**, an **LSTM-based network**, and a **Negative Log-Likelihood loss function* optimized with **Adam**. Even within this constraint, the model successfully demonstrated coherent handwriting generation and strong alignment between text and generated strokes.

📘 Credits
*Base Repository:* [Handwriting Synthesis by Swechha Singh](https://github.com/swechhasingh/Handwritin...)
*Research Paper:* Generating Sequences With Recurrent Neural Networks by *Alex Graves*
[arXiv Link](https://arxiv.org/abs/1308.0850) | [DOI](https://doi.org/10.48550/arXiv.1308.0850)
Demonstrates how LSTM networks can generate complex sequences with long-range dependencies, applied to both text and online handwriting synthesis.

*Author:* Tushar Sharma