In machine learning and statistics, classification is the problem of identifying which of a set of categories a new observation belongs to, on the basis of a training set of data containing observations whose category membership (label) is known.
After using TensorFlow for quite a while I have read some Keras tutorials and implemented some examples. I have found …
python tensorflow keras classification cross-entropyI'm training Caffe Reference Model for classifying images. My work requires me to monitor the training process by drawing graph …
c++ classification deep-learning caffe conv-neural-networkIn a multilabel classification setting, sklearn.metrics.accuracy_score only computes the subset accuracy (3): i.e. the set of labels …
python scikit-learn classificationI am trying to use vowpal wabbit for logistic regression. I am not sure if this is the right syntax …
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maven profile nexus classification maven-deploy-pluginI've found a similar project here: Sentiment analysis for Twitter in Python . However, I'm working on C# and need to …
c# twitter bayesian classificationI'm struggling to understand how to implement a least square linear classifier for my data in matlab. My data has …
matlab machine-learning classification least-squaresI have a training dataset of 1600000 tweets. How can I train this type of huge data. I have tried something …
python classification nltk svm naivebayesI'm working on a multiclass classification problem using Keras and I'm using binary accuracy and categorical accuracy as metrics. When …
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