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tiny-cnn v1.0.0.a3 Release Notes

Release Date: 2016-11-29 // over 8 years ago

  • 🚀 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

    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.


Previous changes from v1.0.0.a2

  • 🐛 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