{"push_id":1169851209,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"588fc2256116ebce84c9d93ce02a3ca4d24bcca2","before":"5de9b0610bad649969d46e58b5737c42830cfbd6","commits":[{"sha":"588fc2256116ebce84c9d93ce02a3ca4d24bcca2","author":{"name":"Juha Reunanen","email":"d239f169b16179ef80904d9d323ba7fea79e255d@gmail.com"},"message":"Refactor layer to handle minibatch at once (#181)\n\n* get rid of unnecessary compiler warnings (C4018: '>=': signed/unsigned mismatch)\r\n\r\n* refactor layer to handle a minibatch at once (previously individual input samples only)\r\n\r\n* move new functions apply_cost_if_defined and add_sample_gradient to an anonymous namespace in order to hopefully make AppVeyor happy\r\n\r\n* revert the changes to test_network.h\r\n\r\n* minor type fixes to get rid of compiler warnings\r\n\r\n* make quick changes to deconvolutional_layer so that the examples at least compile\r\n\r\n* fix backward_activation to use all samples\r\n\r\n* remove unused variables\r\n\r\n* update picotest to fix operator precedence\r\n\r\n* fix input data ordering\r\n\r\n* fix overriding prev_delta\r\n\r\n* change gradients to be per-sample as well\r\n\r\n* remove unused variables\r\n\r\n* fix indexing in convolutional_layer\r\n\r\n* also in dropout_layer, have a different mask vector for each sample of a minibatch\r\n\r\n* deconvolution_layer: fix allocating space for prev_out_ and cur_out_padded_\r\n\r\n* add gradient check for minibatch\r\n\r\n* minor: change types to fix some compiler warnings","distinct":true,"url":"https://api.github.com/repos/reunanen/tiny-cnn/commits/588fc2256116ebce84c9d93ce02a3ca4d24bcca2"}]}
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