How maxim671/man-woman works
This small repository contains two standalone Python demonstrations of binary classification from weight and height: one trains a scalar neural network and prints a numeric prediction; the other trains with batched NumPy operations and prints a gender label. Both read iris.csv and normalize its measurements. The README provides no further product documentation, so the graph follows only the supplied source.
Main entry points: 1.py Scalar preparation · batch.py Batch preparation · iris.csv Training data
Components 8
Input data
- Training data
iris.csv
Classifier demos
- Scalar preparation
1.py - Scalar training
1.py - Scalar prediction
1.py - Batch preparation
batch.py - Batch training
batch.py - Batch prediction
batch.py
Other components
- Runner
Connections 10
- Runner → Scalar preparation: runs
- Runner → Batch preparation: runs
- Training data → Scalar preparation: read by
- Training data → Batch preparation: read by
- Scalar preparation → Scalar training: normalizes for
- Scalar training → Scalar prediction: trains before
- Scalar prediction → Runner: prints result
- Batch preparation → Batch training: normalizes for
- Batch training → Batch prediction: trains before
- Batch prediction → Runner: prints result