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NNTrainer 0.1.0.rc1 Release

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@jijoongmoon jijoongmoon released this 10 Aug 07:42
v0.1.0.rc1
00de0e9

We are finally release NNtrianer v0.1.0.rc1.

RPM Files are for Tizen, built daily at build.tizen.org (https://build.tizen.org/package/show/Tizen:Unified/nntrainer)
and available at download.tizen.org. ( http://download.tizen.org/snapshots/tizen/unified/latest/repos/standard/packages/ )
DEB files are for Ubuntu, built and download from launchpad.net (https:://launchpad.net/~nnstreamer/+archive/ubuntu/ppa )

If you have unresolved dependencies, please download them from Ubuntu universe and nnstreamer PPA.

In this release:

New Features

  • Supported Layers
    • Fully Connected Layer
    • Convolution 2D Layers
    • Pooling 2D Layer
    • Input Layer
    • Flatten Layer
    • Activation Layer
    • Loss Layer
  • Supported Optimizers
    • sgd : Stochastic Gradient Descent
    • adam : Adaptive Moment Estimation
  • Supported Loss
    • mse : Mean Squared Error
    • Cross Entropy : Sigmoid and Softmax
  • Activations
    • tanh
    • sigmoid
    • relu
    • softmax
  • Normalization
    • Weight Initialization : Xavier (Normal/Uniform), LeCun(Normal/Uniform), HE (Normal/Uniform)
    • Weight Decay : L2Norm
    • Learning Rate Decay
  • Tensor : 4D Tensor ( B, C, H, W) accelerated by open blas
    • add, sub, mul, div
    • sum, average, argmax
    • dot, transpose
    • normalization, standardization
    • save, read
  • APIs
    • Tizen Core API Support
  • Applications
    • Tizen Application
      • Custom Shortcut Application
    • Full Training
      • mnist example
    • Reinforcement Learning
      • DeepQ Learning : CartPole
    • Transfer Learning
      • Classification of cifar10
      • Sticker Example
      • Sticker Example (KNN)
    • Logistic Regression
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