Class | Description |
---|---|
AlexNet |
AlexNet
Dl4j's AlexNet model interpretation based on the original paper ImageNet Classification with Deep Convolutional Neural Networks
and the imagenetExample code referenced.
|
Darknet19 | |
FaceNetNN4Small2 |
A variant of the original FaceNet model that relies on embeddings and triplet loss.
|
InceptionResNetV1 |
A variant of the original FaceNet model that relies on embeddings and triplet loss.
Reference: https://arxiv.org/abs/1503.03832 Also based on the OpenFace implementation: http://reports-archive.adm.cs.cmu.edu/anon/2016/CMU-CS-16-118.pdf Revised and consolidated version by @crockpotveggies |
LeNet |
LeNet was an early promising achiever on the ImageNet dataset.
|
NASNet |
U-Net
Implementation of NASNet-A in Deeplearning4j.
|
ResNet50 |
Residual networks for deep learning.
|
SimpleCNN |
A simple convolutional network for generic image classification.
|
SqueezeNet |
U-Net
An implementation of SqueezeNet.
|
TextGenerationLSTM |
LSTM designed for text generation.
|
TinyYOLO |
Tiny YOLO
Reference: https://arxiv.org/pdf/1612.08242.pdf
|
UNet |
U-Net
An implementation of U-Net, a deep learning network for image segmentation in Deeplearning4j.
|
VGG16 |
VGG-16, from Very Deep Convolutional Networks for Large-Scale Image Recognition
https://arxiv.org/abs/1409.1556
Deep Face Recognition http://www.robots.ox.ac.uk/~vgg/publications/2015/Parkhi15/parkhi15.pdf |
VGG19 |
VGG-19, from Very Deep Convolutional Networks for Large-Scale Image Recognition
https://arxiv.org/abs/1409.1556 |
Xception |
U-Net
An implementation of Xception in Deeplearning4j.
|
YOLO2 |
YOLOv2
Reference: https://arxiv.org/pdf/1612.08242.pdf
|
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