v1.0

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README.md

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 license: apache-2.0
 datasets:
 - Ritvik19/Sudoku-Dataset
----
+---
+
+# Model Card: SuDoKu Net 1.0
+
+## Model Overview
+
+- A Neural Network that solves SuDoKu puzzles
+
+## Intended Use
+
+- **Use Cases:** SuDoKu is a research project aimed at exploring the capabilities of Neural Networks in SuDoKu Puzzles. It serves as an experimental tool rather than a specific real-world application.
+
+## Training Details
+
+- Optimizer: Adam
+- Learning Rate: 1e-3
+- Batch Size: 64K
+- Training Dataset [Sudoku Dataset](https://huggingface.co/datasets/Ritvik19/Sudoku-Dataset)
+
+### Model Architecture
+
+- **Model Type:** Feed Forward Neural Network
+- **Architecture Details:** Consists of two Linear layers, each with 64 units, followed by 81 output branches. ReLu activation was used for hidden layers.
+
+## Performance Metrics
+
+- Evaluation Metric: Accuracy (determined by whether the model correctly solves a problem or not)
+
+## Model Usage
+
+- Users can interact with the model through this [Space](https://huggingface.co/spaces/Ritvik19/SuDoKuNet).

ffn.keras

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