Instructions to use Jabka/Neue_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Jabka/Neue_Model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Jabka/Neue_Model") - Notebooks
- Google Colab
- Kaggle
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README.md
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Обучена на выборке mnist
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# Послойная архитектура НС
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# Общее количество обучаемых параметров НС
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# Используемый алгоритмы оптимизации и функция ошибки:
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Алгоритм оптимизации - Adam;
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