|
gptkbp:instance_of
|
gptkb:API
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:Tensor_Flow.js
|
|
gptkbp:allows
|
Training models in the browser
|
|
gptkbp:can_be_extended_by
|
Custom metrics
Custom layers
Custom callbacks
|
|
gptkbp:can_be_used_with
|
gptkb:website
gptkb:Tensor_Flow_Lite
gptkb:Tensor_Flow_Serving
|
|
gptkbp:developed_by
|
gptkb:Job_Search_Engine
|
|
gptkbp:enables
|
Real-time inference
|
|
gptkbp:has
|
gptkb:document
gptkb:Community_support
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Tensor Flow.js Layers API
|
|
gptkbp:includes
|
Convolutional layers
Dense layers
Recurrent layers
|
|
gptkbp:is_available_on
|
gptkb:npm
gptkb:archive
|
|
gptkbp:is_compatible_with
|
gptkb:server
|
|
gptkbp:is_designed_for
|
Web development
Interactive data visualization
Browser-based applications
Client-side machine learning
|
|
gptkbp:is_integrated_with
|
HTM L5
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_part_of
|
Tensor Flow.js framework
Web-based AI applications
|
|
gptkbp:is_supported_by
|
Mobile devices
Major browsers
Desktop applications
|
|
gptkbp:is_used_by
|
gptkb:physicist
gptkb:software
Data scientists
|
|
gptkbp:is_used_for
|
gptkb:software_framework
Natural language processing
Text classification
Image classification
Object detection
|
|
gptkbp:language
|
gptkb:Library
|
|
gptkbp:offers
|
Pre-trained models
|
|
gptkbp:provides
|
Model serialization
Custom layer creation
High-level building blocks for neural networks
|
|
gptkbp:supports
|
GPU acceleration
Transfer learning
Layer models
|