tiny-cnn v1.0.0.a2 Release Notes
Release Date: 2016-11-13 // over 5 years ago-
🐛 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_trainablemethod 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