cu DNN

GPTKB entity

Statements (96)
Predicate Object
gptkbp:instance_of gptkb:Accelerator
gptkb:Library
gptkbp:api Python API
C++ API
C API
gptkbp:available_on gptkb:Linux
gptkb:mac_OS
gptkb:Windows
gptkbp:developed_by gptkb:NVIDIA
gptkbp:enhances inference speed
training speed
gptkbp:has gptkb:API
https://www.w3.org/2000/01/rdf-schema#label cu DNN
gptkbp:improves memory efficiency
gptkbp:includes tensor operations
gptkbp:integrates_with gptkb:Tensor_Flow
gptkb:Caffe
gptkb:MXNet
gptkb:Py_Torch
gptkbp:is cross-platform
open source
widely used
used in finance
used in research
used in robotics
designed for flexibility
used in production
available for Windows
designed for performance
integrated into cloud services
part of AI frameworks
designed for scalability
highly optimized
used in healthcare applications
used in autonomous vehicles
available for Linux
available for mac OS
part of NVIDIA Deep Learning SDK
gptkbp:is_available_for free download
gptkbp:is_compatible_with gptkb:CUDA
gptkbp:is_documented_in NVIDIA documentation
gptkbp:is_optimized_for gptkb:NVIDIA_GPUs
gptkb:NVIDIA_Ampere_architecture
gptkb:NVIDIA_Turing_architecture
gptkb:NVIDIA_Volta_architecture
gptkb:NVIDIA_Pascal_architecture
gptkbp:is_part_of gptkb:NVIDIA_AI_platform
gptkb:NVIDIA_Deep_Learning_SDK
NVIDIA Deep Learning Frameworks
gptkbp:is_supported_by NVIDIA developer community
gptkbp:is_tested_for gptkb:NVIDIA_GPUs
gptkbp:is_updated_by yes
gptkbp:is_used_for natural language processing
reinforcement learning
image classification
object detection
gptkbp:is_used_in gptkb:Industry
gptkb:research
gptkbp:latest_version 8.0
8.6.0
gptkbp:license NVIDIA End User License Agreement
gptkbp:offers automatic tuning
gptkbp:performance gptkb:neural_networks
deep learning models
gptkbp:provides profiling tools
activation functions
multi-GPU support
automatic differentiation
high-performance primitives
normalization functions
pooling functions
gptkbp:provides_support_for activation functions
convolution operations
normalization layers
pooling operations
gptkbp:released_in gptkb:2014
gptkbp:requires gptkb:CUDA_Toolkit
gptkbp:supports deep learning frameworks
convolutional neural networks
activation functions
RNNs
mixed precision training
multi-GPU training
FP16 precision
INT8 precision
convolution operations
mixed precision
GRUs
LSTMs
gptkbp:used_for deep learning
gptkbp:used_in machine learning applications
deep learning frameworks
training neural networks
gptkbp:written_in gptkb:C++
gptkbp:bfsParent gptkb:CUDA
gptkbp:bfsLayer 4