{"push_id":707404683,"size":1,"distinct_size":1,"ref":"refs/heads/mw_gradient_fix","head":"d27fe052dd3c358ea81b6779231de78e157f710e","before":"975f3fdff4a7ea90c3bf19f862222612f96925a5","commits":[{"sha":"d27fe052dd3c358ea81b6779231de78e157f710e","author":{"email":"5789a9937a03bcc467f9372837ca330caceab5e5@gmail.com","name":"nyghtowl"},"message":"Fixed the gradient calcs. Activations needed the first input to be included because its part of the equation however derivatives needed to have a placeholder so the loop through it would match up to activations. Investigation confirmed original GradientAdjustment was doing a direct update to gradients and shifted that back. Adjusted names for more clarity. Still investigating test discrepency and trying out only applying divisuion of batchsize to gradient weights in the adjustment section.","distinct":true,"url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/commits/d27fe052dd3c358ea81b6779231de78e157f710e"}]}