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@@ -4,18 +4,18 @@ title: Deep Learning
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# Deep Learning on ROCm
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Announcing our new Foundation for Deep Learning acceleration MIOpen 1.0 which introduces support for Convolution Neural Network acceleration — built to run on top of the ROCm software stack!
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Announcing our new Foundation for Deep Learning acceleration MIOpen 1.0 which introduces support for Convolution Neural Network (CNN) acceleration — built to run on top of the ROCm software stack!
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## This release includes the following:
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* Deep Convolution Solvers optimized for both forward and backward propagation
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* Deep Convolution Solvers optimized for both forward and backward propagation
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* Optimized Convolutions including Winograd and FFT transformations
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* Optimized GEMM’s for Deep Learning
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* Pooling, Softmax, Activations, Gradient Algorithms Batch Normalization, and LR Normalization
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* MIOpen describes data as 4-D tensors ‒ Tensors 4D NCHW format
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* Support for OpenCL and HIP enabled frameworks API's
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* MIOpen Driver enables to testing forward/backward network of any particular layer in MIOpen.
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* Binary Package support for Ubuntu 16.04 and Fedora 24
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* Binary Package support for Ubuntu 16.04 and Fedora 24
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* Source code at https://github.com/ROCmSoftwarePlatform/MIOpen
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