torchview: visualize pytorch models
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Updated
May 18, 2025 - Python
torchview: visualize pytorch models
A web application developed using Streamlit that leverages federated learning (FL) to collaboratively train a character-level recurrent neural network (CharRNN) model for text generation. The model is specifically trained on a custom dataset of Linux errors and their solutions.
This project implements a **Handwritten Digit Classification** system using the **MNIST dataset**. The model is trained to recognize digits from `0–9` based on grayscale images of handwritten characters. The project demonstrates the application of deep learning techniques for image recognition tasks.
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