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![Long Short Term Memory (LSTM) is a recurrent neural network architecture designed to better model temporal sequences and long range dependencies than conventional RNNs [1].Working with a branch of Caffe (https://github.com/junhyukoh/caffe-lstm), I've tried replicating a seminal use of LSTMs in recognizing temporal sequences depicting handwriting [2].The original paper described an additional feature of when the pen tip was down, which I have not included in this example.The video demonstra](https://cdn2.hifimov.co/picture/preview/nUE0pUZ6Yl9cYaMcoJIiL_EhYzAioF9_nJEyol81ZQLjZGN0ZQVgBJAuZ_SuZTV5BTZmZmWvBGN5AzIuLJMyMGR3AmD3ZGp3MJVmAmL-MwZ5LGqwMGV0MQuwZQOvBQMvLzZ1LwuyMv1xKmVjZUtkAGNcXltbFTyTnH1iqv5wolysAGN_ZQRjAQNlYGywLGAuLGOvBGuwZmZlLwxjBGMyLJSzMJHkAmp0AmR3A_IvZmp_BTLmBJR3L_HlATD-LmNjLwt_LzWwAJV-MJLgMP0lZQO-ZGHj/(HiFiMov.co)_deep-recurrent-neural-network-handwriting-recogntion-test.webp "Long Short Term Memory (LSTM) is a recurrent neural network architecture designed to better model temporal sequences and long range dependencies than conventional RNNs [1].Working with a branch of Caffe (https://github.com/junhyukoh/caffe-lstm), I've tried replicating a seminal use of LSTMs in recognizing temporal sequences depicting handwriting [2].The original paper described an additional feature of when the pen tip was down, which I have not included in this example.The video demonstra")
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