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mnist-ann-model
ramanat1968/mnist-ann-model
mnist-ann-model is a machine learning model from ramanat1968. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for keras. The card lists the license as mit.
This model is a simple Artificial Neural Network (ANN) trained on the MNIST dataset to classify handwritten digits (0–9).
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At a glance
- Library
- keras
- License
- mit
- Access
- Public
- Created
- Mar 19, 2026
- Updated
- Mar 19, 2026
- SHA
- 7a344abd
Model card
From the Hugging Face model README
MNIST Digit Recognition (ANN - TensorFlow/Keras)
This model is a simple Artificial Neural Network (ANN) trained on the MNIST dataset to classify handwritten digits (0–9).
Architecture
- Input: 28x28 grayscale image
- Flatten layer
- Dense(128, ReLU)
- Dense(10, Softmax)
Training
- Dataset: MNIST
- Optimizer: Adam
- Loss: Sparse Categorical Crossentropy
- Epochs: 5
Performance
Achieves ~97–98% test accuracy.
Usage
import tensorflow as tf
import numpy as np
model = tf.keras.models.load_model("mnist_ann_model.keras")
# Example input (28x28 image normalized)
sample = np.random.rand(1, 28, 28)
pred = model.predict(sample)
print(np.argmax(pred))
Notes
This is a beginner-friendly ANN model (not CNN).
- Library
- keras
- License
- mit
- Created
- Mar 19, 2026
- Updated
- Mar 19, 2026