18 Commits (e6f63c7a38ca40c5dc33e38736e3027e3528d6cb)

Author SHA1 Message Date
Dmitry Kurtaev 62ba5d7552 Added Halide OpenCL target for deep learning networks (#1246) 8 years ago
dkurt dc93eedecf Added Halide backend support for deep learning layers 8 years ago
Vadim Pisarevsky 645260af34 optimized several conv net layers (#1227) 8 years ago
Aleksandr Rybnikov a5d0ef520c Added statistics functions 8 years ago
Aleksandr Rybnikov 9b73fee29d Made separate functions for computing output shapes for all layers. Removed output blobs allocation from layers 8 years ago
Vadim Pisarevsky 3f5b465501 refactored DNN (#1102) 8 years ago
Aleksandr Rybnikov 9c6c69a4e4 Fixed and added tests (#987) 8 years ago
Alexander Alekhin 62cc8d86e9 dnn: build fixes 8 years ago
Aleksandr Rybnikov 327aa89c37 Added TensorFlow models loading 9 years ago
Vitaliy Lyudvichenko 0674b6f3a2 Rewriting FlattenLayer and small fixes 9 years ago
Vitaliy Lyudvichenko 942e920522 Fixing of reshape layer to pass Torch test 9 years ago
Vitaliy Lyudvichenko b51ffe3e53 Adding of public interfaces and refactoring of Reshape and MVN layer. 9 years ago
Vitaliy Lyudvichenko d0a9683fa5 Moving of Caffe loaders into separate file 9 years ago
Vitaliy Lyudvichenko e713af1a69 Adding of OCL activations 9 years ago
Vitaliy Lyudvichenko e33da71a8a Adding of setTo method for Blob, fixing of UMat allocation 9 years ago
Vitaliy Lyudvichenko 0af7f9ea29 Adding of OCL & public interface for Pooling layer 9 years ago
Vitaliy Lyudvichenko 601afeed90 Adding of OCL implementations and public interfaces for Convolution and LRN 9 years ago
Vitaliy Lyudvichenko 6ec22eee11 GSOC 2015: dnn module 10 years ago