Wapiti - A simple and fast discriminative sequence labelling toolkit
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A sober perspective on Deep Learning. The original tutorial is taken from very useful blog. We will work with a CNN to try and beat the best. We will be using Keras.
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Wapiti - A simple and fast discriminative sequence labelling toolkit. Wapiti is a very fast toolkit for segmenting and labeling sequences with discriminative models. It is based on maxent. Models, maximum entropy Markov models and linear-chain CRF. And proposes various optimization and regularization methods to improve both the computational complexity and the prediction performance of standard models. Wapiti is ranked first on the sequence tagging task for more than a year on MLcomp. Fix bug with bigram.PARSED CONTENT
The web site has the following on the web site, "Wapiti - A simple and fast discriminative sequence labelling toolkit." I saw that the web page also said " Wapiti is a very fast toolkit for segmenting and labeling sequences with discriminative models." They also said " It is based on maxent. Models, maximum entropy Markov models and linear-chain CRF. And proposes various optimization and regularization methods to improve both the computational complexity and the prediction performance of standard models. Wapiti is ranked first on the sequence tagging task for more than a year on MLcomp."ANALYZE SIMILAR WEB SITES
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