williamg/neuralnet
A Python utility for using feed-forward artificial neural networks.
This is a foundational tool for developers who want to build and train simple neural networks. You provide numerical input and output data, and it trains a feed-forward network to recognize patterns or make predictions. This utility is for Python developers looking to implement basic neural network functionality in their applications or for data scientists exploring simple models.
No commits in the last 6 months.
Use this if you are a Python developer or data scientist needing to quickly set up, train, and evaluate a basic feed-forward neural network for straightforward classification or regression tasks using command-line tools or within a Python script.
Not ideal if you need advanced neural network architectures (like recurrent or convolutional networks), require GPU acceleration, or are looking for a high-level, production-ready deep learning framework.
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10
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2
Language
Python
License
MIT
Category
Last pushed
Apr 24, 2015
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