cfoh/FFNN-Examples
Neural Network for Regression and Classification, covering simple feed-forward and CNN architectures
This project offers ready-to-use examples for building neural networks that can predict outcomes or categorize data. You input your structured numerical data (like sensor readings or financial figures) or images, and it helps you get predictions or classifications. It's designed for data scientists, machine learning engineers, and researchers looking for practical implementations of neural networks.
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Use this if you need to build a regression model to predict a continuous value or a classification model to categorize data, especially for image-related tasks.
Not ideal if you're looking for solutions beyond feed-forward or convolutional neural networks, or if you need advanced deep learning architectures not covered here.
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9
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3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 30, 2025
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