This code has been reproduced for the paper of "Teaching iCub to recognize objects using deep Convolutional Neural Networks" by Pasquale et. al.
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Updated
May 10, 2017 - Python
This code has been reproduced for the paper of "Teaching iCub to recognize objects using deep Convolutional Neural Networks" by Pasquale et. al.
This repo contains list of all open sourced pre trained models names and links.
A pre-trained VGG for fine-tuning and usage in other networks
Employing a CNN model provided in Caffe library, BVLC Reference CaffeNet, for person re-identification problem.
Pre-trained models for tokenization, sentence segmentation and so on
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Transfer learning for image classification with Keras
ImageNet pre-trained models with batch normalization for the Caffe framework
Kaggle dog breed identification implemented via gluon
PyTorch and Tensorflow functional model definitions
face-detection
Scala samples codes on how to load tensorflow pb model and use them to predict
Data repository for pretrained NLP models and NLP corpora.
Pre-trained Word Vector Models of 30+ Languages
Build a simple text classifier with TF-Hub
Unity project that loads pretrained tensorflow pb model files and use them to predict
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