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Intel® DAAL 2017 Beta (as part of Intel® Parallel Studio XE 2017 Beta) invitation – please register and provide feedback!

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Intel® Parallel Studio XE 2017 Beta is introducing a lot of new features and a couple of new products. Please register for the Beta program, check out the new features introduced in Intel® Data Analytics Acceleration Library (Intel® DAAL) 2017 Beta and provide us feedback

Registration Link: Click the link here for Registration

What's new in Intel DAAL:

  • Python programming language API
  • Building blocks for support of neural networks based computations:
    • Layers
      • Two-dimensional convolutional
      • One-, two-, and three-dimensional max pooling
      • One-, two-, and three-dimensional average pooling
      • Fully connected
      • Dropout
      • Logistic
      • Hyperbolic tangent
      • Rectifier Linear Unit (ReLu)
      • Parametric Rectifier Linear Unit (pReLu)
      • Smooth Rectifier Linear Unit (smooth ReLu)
      • Softmax
      • Absolute value (abs)
      • Batch normalization
      • Local response normalization
      • Concat
      • Split
    • Neural network and its model
    • Optimization solvers
      • Stochastic gradient descent
      • Mini-batch stochastic gradient descent
      • Stochastic limited memory Broyden–Fletcher–Goldfarb–Shanno (lBFGS)
    • Objective functions
      • Mean squared error (MSE)
    • Tensor
  • z-score normalization
  • Bug fixes and other improvements in the library and its documentation
  • Intel DAAL samples are now moved to online articles and removed from the installer packages.

Checkout Online Release notes for more information

Intel® Parallel Studio XE (Intel PSXE) Beta Articles and References


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