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
| { | |
| "rules": [ | |
| { | |
| "conditions": [ | |
| "fever", | |
| "cough" | |
| ], | |
| "conclusion": "flu" | |
| }, | |
| { | |
| "conditions": [ | |
| "fever", | |
| "rash" | |
| ], | |
| "conclusion": "measles" | |
| }, | |
| { | |
| "conditions": [ | |
| "headache", | |
| "nausea" | |
| ], | |
| "conclusion": "migraine" | |
| } | |
| ], | |
| "note": "rule-based expert system, Book 1 ch.1.2" | |
| } |