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Streamlit DNN Training and Regression Prediction App

This is a Deep Neural Network (DNN) training and regression prediction app developed by T. Shimokawa. The app utilizes Streamlit to provide a user-friendly interface for training a DNN and performing regression predictions.

Features

User-friendly interface for training a DNN Real-time visualization of training progress and validation loss Prediction of regression values based on the trained model Ability to customize hyperparameters and network architecture

Installation

To install the necessary dependencies, run the following command:

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pip install -r requirements.txt

Usage

To run the app, execute the following command:

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streamlit run DNN_GUI_230326_temp.py

After launching the app, you can upload your training data and customize the hyperparameters and architecture of your DNN. While you cannot save your trained model using the app, you can use it to make regression predictions based on your trained model.

Author

T. Shimokawa.

Version

This app is version 2023.03.26.

https://ssurf777-deploy-safetymap-streamlit-map7-r5ibzc.streamlit.app/