tiny-cnn changelog

Changelog History

• v1.0.0.a3 Changes

  November 29, 2016

  🚀 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 #387 by @beru
  • 👌 Improve memory consumption #410 by @beru
  • 👌 Improve unit tests #408 by @Randl
  • Subtle speed optimization #419 by @beru
  • 🔨 Refactor serialization type & size type #407, #422 by @Randl and @edgarriba
  • 👌 Improve compilation time by splitting serialiation/deserialization #421 by @beru

  📄 Docs&Comments

  • ➕ Add comments to layer class #424 by @edgarriba
  • 🛠 Fix typo in comments #404 by @MikalaiDrabovich

  Toward v1.0.0

  🔀 The first version of tensor is merged into tiny-dnn (#411 #417 #418 by @pansk @Randl and @edgarriba). It isn't integrated with tiny-dnn layers yet, but it's the starting point of the GPU tiny-dnn.

• v1.0.0.a2 Changes

  November 13, 2016

  🐛 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 option to disable serialization support to speedup compilation time (#316) by @nyanp
  • ➕ Adds set_trainable method to freeze layers (#346) by @nyanp
  • ➕ Adds power layer to caffe converter by @goranrauker
  • 👍 double precision support (#332) by @nyanp
  • Provides pad_type and non-square input to pooling layers (#374) by @nyanp
  • ➕ Adds public predict method for vector of tensors (#396) by @reunanen
  • ➕ Adds Auto engine selection (#339) by @edgarriba
  • ➕ Adds basic image utilities, and remove OpenCV dependencies (#337) by @nyanp

  Others

  • 🔀 Sync with latest NNPACK by @azsane
  • 👌 Improves compiler warnings around type-cast by @pansk @reunanen @edgarriba
  • 👌 Improves CMakelist by @syoyo @edgarriba @beru
  • ✅ Replaces picotest with gtest by @Randl
  • ➕ Adds "layer catalogue" into official documentation by @nyanp
  • ➕ Adds tests for GPU environment by @Randl
  • ➕ Adds cpplint.py by @edgarriba @Randl
  • ➕ Adds a document for building iOS app by @wangyida
  • ➕ Adds coverall checking by @edgarriba
  • ➕ Adds CI builds for Win32 by @nyanp
  • ⚡️ Updates & improves readme by @edgarriba@zhangqianhui

• v1.0.0.a Changes

  September 14, 2016

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

  🚀 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 by @edgarriba
    • Quantization by @wangyida

  These features are still experimental, so PRs and bug reports are very welcome!

  - Model serialization by @nyanp

  Minor bug fix

  • Memory errors in cifar-10 example #295 #300 by @edgarriba
  • Fix max-pooling layer #271 by @nyanp
  • Fix concat-layer #301 by @Jiaolong

  - Suppress compiler warnings #297 by @syoyo

  Other

  • A nice project logo by @KonfrareAlbert
  • Launch official documents at http://tiny-dnn.readthedocs.io/

  some APIs are changed from v0.1.1 .

  • changed its namespace from tiny_cnn to tiny_dnn
  • changed API header from tiny_cnn.h to tiny_dnn.h

• v0.1.1 Changes

  July 26, 2016

  🚀 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 caffemodel #227
    • Fix data race in network::test #185

  🚀 Thank you very much for all comitters for this release!

• v0.1.0 Changes

  June 06, 2016

  🚀 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 dependency of OpenCV in MNIST example

  🚀 Some API have changed from the previous release. see change list

• v0.0.1

  May 22, 2016