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arrayfire
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arrayfire-ml
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Commits on Aug 6, 2018
Replace gitter badge with slack channel invitation
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Commits on Jul 24, 2018
Add missing C++ header in example
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Use ArrayFire import target in CMake
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Commits on Aug 10, 2017
FEAT: Adding SGD, Adam, and RMSProp optimizers
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Cleaning up autograd::Variable to use new functionality
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Commits on Aug 8, 2017
overload Module::operator() to call Module::forward
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Commits on Aug 2, 2017
Adding Dropout Layer
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Commits on Jul 27, 2017
Adding common loss Modules
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Adding necessary functions for Loss modules.
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Adding uniform, normal, constant initializers
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FEAT: Adding mean, adding new API for sum and tile
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Changingg expandAs, reduceAs to tileAs, sumAs
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Adding Variable::dims()
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Commits on Jul 10, 2017
add ThresholdedReLU layer
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Add ELU layer
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Add PReLU layer
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added min function
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Commits on Jul 7, 2017
Add ReLU and LeakyReLU modules
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Commits on Jul 6, 2017
Use references while iterating when possible
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Formatting changes
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Adding model.eval() and model.train()
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Fixing perceptron example to use smaller batch size
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Fixing bugs in backward pass for activation functions
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Overhaul of af::nn to use af::autograd
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Convert Variable::build and Variable::buildSubGraph to static functions
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Add option to explicitly request higher order gradients.
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Adding matmul, matmulTN, and matmulNT functions
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Adding expandAs, reduceAs, and transpose
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Adding exp, sin, cos, tanh, and sigmoid functions
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Add scalar support for operators
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Adding negate, reciprocal, subtract and divide
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Moving autograd from header only lib to a compiled lib
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Changing autograd::backward function to Variable::backward method
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Refactor autograd::Variable, option to disable grad calculations
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Store gradients as autograd::Variable instead of af::array
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