Instructions to use ericyoc/the_applied_ai_universe_coding_guide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ericyoc/the_applied_ai_universe_coding_guide with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ericyoc/the_applied_ai_universe_coding_guide") - Notebooks
- Google Colab
- Kaggle
File size: 199 Bytes
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"centers": {
"low": 20.0,
"medium": 50.0,
"high": 80.0
},
"width": 25.0,
"actions": {
"low": 0.1,
"medium": 0.5,
"high": 0.9
},
"note": "Mamdani fuzzy controller, Book 1 ch.1.x"
} |