Long Short Term Memory (LSTM) is a Recurrent Neural Network (RNN) architecture designed to better model temporal sequences (e.g. audio, sentences, video) and long range dependencies than conventional RNNs [1]. There is a lot of excitement in the machine …
I’ve spent a little time with Caffe over the holiday break to try and understand how it might work in the context of real-time visualization/object recognition in more natural scenes/videos. Right now, I’ve implemented the following Deep Convolution Networks using …
