Faster R-CNN for Salient Object Detection.
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Updated
Jan 14, 2016 - Jupyter Notebook
Faster R-CNN for Salient Object Detection.
This script evaluates the sensitivity of VGG-16 to occlusion using Keras
Retrain VGG16 to differentiate cats from dogs
CNN Model to Colorize Grayscale Images
Python implementation of KCF tracking algorithm with Convolutional Networks in Theano and Caffe
Transfer learning from imagenet VGG16 CNN for classifying stl10 database using Keras
Neural Artistic Style Implementation in Tensorflow
Accompanying demos for my TCES talk on loss function engineering
Train neural network for a car to drive in simulator
Transfer Learning on NORB dataset using pre-trained VGG16
Real time traffic sign classification using deep learning
Identification of images containing invasive species using convolutional neural networks
Dogs-vs-Cats image classification
Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow
Face recognition using TensorFlow
Style transfer on images
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