Metalhead.jlComputer vision models for Flux
Metalhead
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.
Installation
]add Metalhead
Available models
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 |
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