|
gptkbp:instance_of
|
gptkb:Library
|
|
gptkbp:available_at
|
gptkb:intellectual_property
|
|
gptkbp:available_on
|
gptkb:Linux
gptkb:mac_OS
gptkb:Windows
|
|
gptkbp:developed_by
|
gptkb:Intel_Corporation
|
|
gptkbp:has
|
gptkb:Documentation
gptkb:API
community support
examples
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Intel MKL DNN
|
|
gptkbp:integrates_with
|
gptkb:Tensor_Flow
gptkb:Caffe
gptkb:MXNet
gptkb:Py_Torch
|
|
gptkbp:is_compatible_with
|
gptkb:Open_VINO
gptkb:Oni
|
|
gptkbp:is_optimized_for
|
gptkb:Intel_Xeon_processors
gptkb:Intel_GPUs
gptkb:Intel_Core_processors
gptkb:Intel_architecture
gptkb:Intel_FPGAs
|
|
gptkbp:is_part_of
|
gptkb:Intel_Distribution_of_Open_VINO_Toolkit
gptkb:Intel_AI_Analytics_Toolkit
gptkb:ecosystem
Intel AI Developer Program
|
|
gptkbp:is_supported_by
|
Intel support services
|
|
gptkbp:is_used_in
|
gptkb:Industry
gptkb:research
|
|
gptkbp:part_of
|
gptkb:Intel_Math_Kernel_Library
|
|
gptkbp:provides
|
data augmentation
profiling tools
fully connected layers
activation functions
performance tuning tools
batch normalization
high-performance primitives
convolution operations
dropout layers
recurrent neural network operations
|
|
gptkbp:released_in
|
gptkb:2017
|
|
gptkbp:supports
|
gptkb:Intel_SSE
gptkb:Intel_AVX2
gptkb:Intel_AVX-512
deep learning frameworks
multi-threading
dynamic shapes
static shapes
FP16 precision
INT8 precision
|
|
gptkbp:used_in
|
machine learning applications
|
|
gptkbp:written_in
|
gptkb:C++
|
|
gptkbp:bfsParent
|
gptkb:MKL
|
|
gptkbp:bfsLayer
|
6
|