Metalhead.jl provides standard machine learning vision models for use with Flux.jl. The architectures in this package make use of pure Flux layers, and they represent the best-practices for creating modules like residual blocks, inception blocks, etc. in Flux.
]add Metalhead
Model Name | Function | Pre-trained? |
---|---|---|
VGG-11 | VGG11 |
N |
VGG-11 (w/ BN) | VGG11 |
N |
VGG-13 | VGG13 |
N |
VGG-13 (w/ BN) | VGG13 |
N |
VGG-16 | VGG16 |
N |
VGG-16 (w/ BN) | VGG16 |
N |
VGG-19 | VGG19 |
Y |
VGG-19 (w/ BN) | VGG19 |
N |
ResNet-18 | ResNet18 |
N |
ResNet-34 | ResNet34 |
N |
ResNet-50 | ResNet50 |
Y |
ResNet-101 | ResNet101 |
N |
ResNet-152 | ResNet152 |
N |
GoogLeNet | GoogLeNet |
Y |
Inception-v3 | Inception3 |
N |
SqueezeNet | SqueezeNet |
Y |
DenseNet-121 | DenseNet121 |
Y |
DenseNet-161 | DenseNet161 |
N |
DenseNet-169 | DenseNet169 |
N |
DenseNet-201 | DenseNet201 |
N |