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mnist-sigmoid-30-20251114_171943

30 hidden neurons, sigmoid activation

Model Details

Architecture: Feedforward Neural Network
Layer sizes: 784 → 30 → 10
Activation: sigmoid
Test Accuracy: 94.57%

Training Details

Epochs: 10
Learning Rate: 3.0
Mini-batch Size: 10

Dataset

Trained on MNIST handwritten digits dataset (60,000 training images, 10,000 test images).

Usage

Load in API

# .env
DEFAULT_MODEL=mnist-sigmoid-30-20251114_171943

Load in Python

from hf_hub import ModelManager

manager = ModelManager()
network = manager.load_model("mnist-sigmoid-30-20251114_171943")

Created

2025-11-14 15:19:54 UTC

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