Z80coder/db-nets
∂B nets: learning discrete, boolean-valued functions by gradient descent
This is a neural network library for machine learning researchers and practitioners working on novel network architectures. It helps in training neural networks that produce clear 'yes/no' or 'true/false' answers rather than probabilities. You input discrete, boolean-valued functions, and it outputs trained models that are also boolean-valued.
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Use this if you are developing neural networks and need to ensure your model's outputs are definitive boolean values, suitable for logic-based decision making, rather than continuous or probabilistic scores.
Not ideal if your problem requires continuous output values, standard probabilistic classification, or if you are not comfortable with deep learning research frameworks like Flax and JAX.
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Language
Mathematica
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Last pushed
Jan 30, 2024
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