ryanlinjui/darkchess-board
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How to use ryanlinjui/darkchess-robot-eye-VGGNet with Keras:
# Available backend options are: "jax", "torch", "tensorflow".
import os
os.environ["KERAS_BACKEND"] = "jax"
import keras
model = keras.saving.load_model("hf://ryanlinjui/darkchess-robot-eye-VGGNet")
This model serves as the Eye of Darkchess Robot, used to recognize the real-world Darkchess board.
For more imformation, please visit: https://github.com/ryanlinjui/darkchess-robot
Based on VGGNet, with modifications to its architecture and parameters.
The following hyperparameters were used during training:
| Hyperparameters | Value |
|---|---|
| name | Adam |
| learning_rate | 9.999999747378752e-06 |
| decay | 0.0 |
| beta_1 | 0.8999999761581421 |
| beta_2 | 0.9990000128746033 |
| epsilon | 1e-08 |
| amsgrad | False |
| training_precision | float32 |