gptkbp:instance_of
|
gptkb:Library
|
gptkbp:community_support
|
gptkb:true
|
gptkbp:constructed_in
|
gptkb:2010
|
gptkbp:developed_by
|
gptkb:LISA_Group
|
gptkbp:first_released
|
gptkb:2010
|
gptkbp:has_documentation
|
available online
|
gptkbp:has_features
|
GPU support
|
gptkbp:has_performance
|
high performance
|
https://www.w3.org/2000/01/rdf-schema#label
|
Theano
|
gptkbp:influenced_by
|
gptkb:Num_Py
|
gptkbp:is_based_on
|
symbolic computation
|
gptkbp:is_compatible_with
|
gptkb:Linux
gptkb:mac_OS
gptkb:Windows
gptkb:Num_Py
|
gptkbp:is_known_for
|
efficient computation of mathematical expressions
|
gptkbp:is_maintained_by
|
gptkb:true
|
gptkbp:is_open_source
|
gptkb:true
|
gptkbp:is_optimized_for
|
mathematical expressions
|
gptkbp:is_part_of
|
deep learning frameworks
AI frameworks
Python ecosystem
data science tools
scientific computing tools
ML frameworks
|
gptkbp:is_related_to
|
gptkb:Artificial_Intelligence
gptkb:machine_learning
data analysis
statistical modeling
|
gptkbp:is_supported_by
|
tutorials
community contributions
online courses
academic papers
|
gptkbp:is_used_by
|
gptkb:researchers
data scientists
machine learning practitioners
|
gptkbp:is_used_for
|
matrix operations
convolutional neural networks
recurrent neural networks
gradient descent optimization
tensor operations
deep neural networks
|
gptkbp:is_used_in
|
gptkb:academic_research
image processing
computer vision
deep learning
financial modeling
natural language processing
bioinformatics
predictive modeling
reinforcement learning
signal processing
industry applications
healthcare analytics
big data analysis
statistical learning
|
gptkbp:language
|
gptkb:Python
|
gptkbp:license
|
gptkb:BSD_License
|
gptkbp:provides
|
symbolic differentiation
|
gptkbp:replaced_by
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
gptkbp:supports
|
multi-dimensional arrays
|
gptkbp:used_for
|
numerical computation
|
gptkbp:written_in
|
gptkb:C
gptkb:Python
|
gptkbp:bfsParent
|
gptkb:API
gptkb:Keras
gptkb:Py_Torch
gptkb:NVIDIA
|
gptkbp:bfsLayer
|
4
|