With the help of Python and the NumPy add-on package, I'll explain how to implement back-propagation training using momentum. Neural network momentum is a simple technique that often improves both ...

Deep neural networks (DNN) are computationally heavy models with a huge number of functional and complex connections 1,2. Data flows in DNNs are translated into massive physical instructions that run ...

We present a multi-stage neural network approach for 3D reconstruction of coronary artery trees from uncalibrated 2D X-ray angiography images. This method uses several binarized images from different ...