DeepDream-MLX / config.json
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{
"_name_or_path": "DeepDream-MLX-Models",
"architectures": [
"GoogleNet",
"VGG16",
"VGG19"
],
"model_type": "feature-extractor",
"framework": "mlx",
"task_specific_params": {
"deepdream": {
"description": "Models converted for DeepDream applications on Apple Silicon using MLX.",
"input_image_size": [224, 224],
"num_channels": 3,
"image_channel_order": "HWC",
"image_mean": [0.485, 0.456, 0.406],
"image_std": [0.229, 0.224, 0.225]
}
},
"license": "apache-2.0",
"tags": [
"deepdream",
"mlx",
"computer-vision",
"googlenet",
"vgg16",
"vgg19",
"feature-extraction"
]
}