Shuffle Attention for MobileNetV3
Run the following command for train model on your own dataset:
python train.py --dataset mnist
Run the following command for evaluation trained model on test dataset:
python test.py --dataset mnist
Run the following command for classification images:
python inference.py --input /path/to/image.jpg
SoC-Winter Checkout some cool self-projects you can try your hands on to curb your boredom this December! These are short projects that you can do you
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Documentation | FAQ | Release Notes | Roadmap | MACE Model Zoo | Demo | Join Us | 中文 Mobile AI Compute Engine (or MACE for short) is a deep learning i
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble This is the code for reproducing the results of the paper Uncertainty-Bas
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