tiny-dnn

Now we are announcing v1.0.0a3. Thanks for all great contributors! This release includes the following changes from v1.0.0a2:

Bug fix

• Convolutional layer with padding::same mode doesn't work #332 fixed by @nyanp
• Segmentation fault at MinGW build #203 #281 fixed by @nyanp
• NNPACK backend doesn't work #398 fixed by @azsane

Improvements

• Remove compiler warnings & improve CMakeLists...

Bug Fixes

• Fix SEGV errors on AVX Optimized code (#353) by @nyanp
• Fix compiler error on msvc2013 (#320) by @nyanp
• Fix AVX backend slowdown on convolutional layer (#322) by @nyanp
• Fix throwing error when we load weights manually (#330) by @nyanp
• Fix returning infinity in tan_h (#347) by @nyanp
• Fix portability issues on serialization (#377) by @nyanp

Features

• Provides compile opt...

:tada: This release contains a major refactoring & many bugfixes. Thanks a lot for all great contributors! :tada:

This release is alpha version. We need more helps and feedbacks toward v1.0.0. Please submit your bug-report at Github issue. Many thanks :)

• Major updates
  • Merge successful results from GSoC 2016
    • [OpenCL & GPU backends](https://summerofcode.withgoogle.com/projects/#5784229...

This release contains following improvements:

• New Layers
  • Batch Normalization
  • Deconvolution/Unpooling (@Wangyida)
  • Power
  • Slice
• New Loss Functions
  • Absolute mean/Absolute mean with eps (@H4kor)
• Minor Bug Fix
  • Compile error on MSVC2013 #218 #231
  • Correct the definition of MSE #232
  • Fix linker error due to duplicate symbols
  • Fix handling non-square input data in c...

This release contains a major refactoring around fundamental architecture of tiny-cnn and fixes many problems. We had the help of 20 comitters for this release. Thanks!

• Now we can handle non-sequential model as network<graph> #108 #153
• Catch up the latest format of caffe's proto #162
• Improve the default behaviour of re-init weight #136
• Add more tests and documents #73
• Remove dependen...