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: 327 Bytes
653e1a8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"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"
} |