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v0.0.1 -> v.0.1.0
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- Now we can handle non-sequential model as ```network<graph>``` tiny-dnn#108
tiny-dnn#153
- Catch up the latest format of caffe's proto tiny-dnn#162
- Improve the default behaviour of re-init weight tiny-dnn#136
- Add more tests and documents tiny-dnn#73
- Remove dependency of OpenCV in MNIST example
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nyanp authored and edgarriba committed Jun 12, 2016
1 parent 7ecfb85 commit 97ac222
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2 changes: 1 addition & 1 deletion CMakeLists.txt
Expand Up @@ -11,7 +11,7 @@
CMAKE_MINIMUM_REQUIRED(VERSION 2.6)

PROJECT(tiny_cnn)
set(PROJECT_VERSION "0.0.1")
set(PROJECT_VERSION "0.1.0")
string(REGEX MATCHALL "[0-9]" PROJECT_VERSION_PARTS "${PROJECT_VERSION}")
list(GET PROJECT_VERSION_PARTS 0 PROJECT_VERSION_MAJOR)
list(GET PROJECT_VERSION_PARTS 1 PROJECT_VERSION_MINOR)
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3 changes: 3 additions & 0 deletions README.md
Expand Up @@ -19,6 +19,9 @@ tiny-cnn is a C++11 implementation of deep learning. It is suitable for deep lea

Check out the [documentation](doc/readme.md) for more info.

## What's New
- [tiny-cnn v0.1.0 released!](https://github.com/nyanp/tiny-cnn/releases/tag/v0.1.0)

## Features
- reasonably fast, without GPU
- with TBB threading and SSE/AVX vectorization
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