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* Implement Simple RNN Layer and Demo (#42) * implement dropout layer and fix pbm inspector * start demo rnn * complete linear rnn demo * update eigen * add nonlinear rnn demo * fix concat * add concat grader * fix nonlin rnn_demo not converging * enhance matmul with contract * fix and complete contract implementation * use contraction to speedup input and output rnn * update both rnn demo to use the best weights * improve rnn loss * remove sigmoid grad * fix convolution operator * fix session * update rnn demo * use eteq derivatives instead of backward connect in rnn * start using layr dense * make funcarg pairvecs readable * make dense contract dimensions parameterized at layr level * implement recurrent layers and update rnn_demo to use new layers * clean up rbm demos * update-todo * cleanup * generate coverage in the first travis test * increase bazel jobs to 3 * split eteq and remove useless dependencies * move session to teq and slowly remove eteq dependencies * reduce warnings * organize tests
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