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.
When trying to get cross-entropy with sigmoid activation function, there is a difference between loss1 = -tf.reduce_sum(p*tf.…
machine-learning tensorflow classification cross-entropy sigmoidI'm working with libsvm and I must implement the classification for multiclasses with one versus all. How can I do …
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matlab octave classification knn ordinalWhat is the difference between classification and prediction in machine learning?
machine-learning classification prediction definitionHow do I get TensorFlow example queues into proper batches for training? I've got some images and labels: IMG_6642.JPG 1 …
python numpy classification tensorflowI have a dataset where the classes are unbalanced. The classes are either '1' or '0' where the …
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