machine learning - Binary Classification with Neural Networks? -

i have dataset of order of mxn. want perform binary classifcation on dataset using neural networks. looking recurrent neural networks. although, lstm's can used autoencoders, not sure if can used classification (i trying binary classification). new neural networks , deep learning models , not sure if there way of achieving binary classification neural networks. tried bernouli rbm on dataset. not sure how use model perform classification. found out pipeline(). again, not sure how achieve goal.

any appreciated.

ok, doesn't stack up. if have unlabelled data , want classify must take @ k-means (http://scikit-learn.org/stable/modules/clustering.html#k-means).

regarding lstms classification: run input through rnn layers , take last output , feed conv / fully-connected layers take care of classification know it.