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gptkbp:instance_of
|
gptkb:Library
|
|
gptkbp:aims_to
|
simplify deep learning development
|
|
gptkbp:designed_for
|
deep learning
|
|
gptkbp:developed_by
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gptkb:Intel
|
|
gptkbp:enhances
|
performance of neural networks
|
|
gptkbp:facilitates
|
model training
model inference
|
|
gptkbp:has
|
extensive documentation
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|
https://www.w3.org/2000/01/rdf-schema#label
|
one API Deep Neural Network Library (one DNN)
|
|
gptkbp:includes
|
fully connected layers
activation functions
convolution operations
recurrent neural network operations
|
|
gptkbp:is_available_on
|
gptkb:Git_Hub
|
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gptkbp:is_compatible_with
|
gptkb:Linux
gptkb:x86_architecture
gptkb:mac_OS
gptkb:ARM_architecture
gptkb:Windows
|
|
gptkbp:is_designed_for
|
high-performance computing
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_optimized_for
|
gptkb:Intel_architectures
gptkb:Intel_GPUs
gptkb:Intel_CPUs
|
|
gptkbp:is_part_of
|
gptkb:one_API_toolkit
gptkb:ecosystem
AI frameworks
|
|
gptkbp:is_supported_by
|
community contributions
|
|
gptkbp:is_used_by
|
industry professionals
research institutions
|
|
gptkbp:is_used_for
|
image processing
computer vision
natural language processing
speech recognition
|
|
gptkbp:is_utilized_in
|
gptkb:cloud_computing
embedded systems
edge computing
|
|
gptkbp:offers
|
CPU and GPU support
|
|
gptkbp:part_of
|
gptkb:one_API
|
|
gptkbp:provides
|
performance benchmarks
multi-threading capabilities
high-performance primitives
interoperability with Py Torch
interoperability with Tensor Flow
|
|
gptkbp:released_in
|
gptkb:2020
|
|
gptkbp:supports
|
gptkb:Open_MP
gptkb:Open_CL
various data formats
multiple hardware architectures
DPC++
|
|
gptkbp:used_in
|
machine learning frameworks
|
|
gptkbp:written_in
|
gptkb:C++
|
|
gptkbp:bfsParent
|
gptkb:one_API_Base_Toolkit
|
|
gptkbp:bfsLayer
|
6
|