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README.md
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---
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library_name: keras
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tags:
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- image-classification
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| learning_rate | 0.0010000000474974513 |
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| beta_1 | 0.9 |
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| beta_2 | 0.999 |
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| epsilon | 1e-07 |
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| amsgrad | False |
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| training_precision | float32 |
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## Model Plot
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<details>
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<summary>View Model Plot</summary>
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</details>
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---
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license: apache-2.0
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language:
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- en
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library_name: keras
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---
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# Model Description
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The digit-classifier model is used to recognize manuscript digits from 0 to 9.
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The model was trained with MNIST dataset.
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## Details
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- Size: 1,256,080 parameters
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- Dataset: [tf.keras.datasets.mnist](https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz)
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- Language: English
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- Number of Training Steps: 10
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- Batch size: 32
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- Optimizer: Adam
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- Learning Rate: 0.001
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- GPU: T4
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- This repository has the source [code used](https://github.com/Nkluge-correa/teeny-tiny_castle/blob/master/ML%20Intro%20Course/19_quick_AI_app.ipynb) to train this model.
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# Cite as 🤗
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```
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@misc{teenytinycastle,
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doi = {10.5281/zenodo.7112065},
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url = {https://huggingface.co/AiresPucrs/digit-classifier},
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author = {Nicholas Kluge Corr{\^e}a},
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title = {Teeny-Tiny Castle},
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year = {2023},
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publisher = {HuggingFace},
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journal = {HuggingFace repository},
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}
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```
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## License
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The digit-classifier is licensed under the Apache License, Version 2.0. See the LICENSE file for more details.
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