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gptkbp:instance_of
|
gptkb:machine_learning
|
|
gptkbp:developed_by
|
gptkb:Apache_Software_Foundation
|
|
gptkbp:features
|
dynamic computation graph
static computation graph
|
|
gptkbp:first_released
|
gptkb:2015
|
|
gptkbp:has
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gptkb:Documentation
research papers
tutorials
community support
visualization tools
examples
active development community
model zoo
API for Go
API for R
API for Julia
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|
https://www.w3.org/2000/01/rdf-schema#label
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MXNet
|
|
gptkbp:is_available_on
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gptkb:Py_PI
gptkb:Git_Hub
Conda
|
|
gptkbp:is_compatible_with
|
gptkb:Kubernetes
gptkb:Tensor_Flow
gptkb:Apache_Spark
gptkb:Keras
gptkb:Docker
|
|
gptkbp:is_optimized_for
|
gptkb:performance
flexibility
scalability
|
|
gptkbp:is_used_in
|
gptkb:academic_research
industry applications
|
|
gptkbp:programming_language
|
gptkb:C++
gptkb:Python
gptkb:Scala
|
|
gptkbp:provides
|
model evaluation
pre-trained models
data preprocessing tools
model training
automatic differentiation
|
|
gptkbp:supports
|
gptkb:AMD_GPUs
gptkb:NVIDIA_GPUs
multiple languages
GPU acceleration
reinforcement learning
transfer learning
cloud deployment
distributed training
|
|
gptkbp:used_by
|
gptkb:Amazon_Web_Services
gptkb:Baidu
gptkb:Microsoft
|
|
gptkbp:used_for
|
training deep neural networks
|
|
gptkbp:bfsParent
|
gptkb:Deep_Learning
gptkb:Py_Torch
gptkb:NVIDIA
|
|
gptkbp:bfsLayer
|
4
|