gptkbp:instance_of
|
gptkb:Library
|
gptkbp:bfsLayer
|
4
|
gptkbp:bfsParent
|
gptkb:tf.keras.applications
|
gptkbp:can_be_used_with
|
gptkb:Library
|
gptkbp:character_customization
|
hyperparameters
model architecture
|
gptkbp:developed_by
|
gptkb:François_Chollet
|
https://www.w3.org/2000/01/rdf-schema#label
|
Keras Applications
|
gptkbp:includes
|
gptkb:Mobile_Net
gptkb:Dense_Net
gptkb:Inception_V3
gptkb:Res_Net50
gptkb:Xception
VG G16
NAS Net
|
gptkbp:is_available_in
|
Docker images
cloud platforms
|
gptkbp:is_available_on
|
gptkb:archive
|
gptkbp:is_compatible_with
|
gptkb:CEO
gptkb:Jupyter_notebooks
GPU acceleration
Colab
|
gptkbp:is_documented_in
|
Keras documentation
|
gptkbp:is_integrated_with
|
gptkb:TF_Hub
gptkb:board_game
gptkb:Keras_Tuner
|
gptkbp:is_known_for
|
flexibility
modularity
ease of use
high-level API
|
gptkbp:is_often_used_in
|
data scientists
machine learning engineers
|
gptkbp:is_open_source
|
gptkb:theorem
|
gptkbp:is_part_of
|
gptkb:National_Park
Keras framework
|
gptkbp:is_popular_in
|
beginners
experts
|
gptkbp:is_supported_by
|
tutorials
community contributions
online courses
|
gptkbp:is_used_for
|
computer vision
deep learning
natural language processing
reinforcement learning
|
gptkbp:is_used_in
|
gptkb:academic_research
competitions
hackathons
industry projects
|
gptkbp:provides
|
gptkb:Model
pre-trained models
image classification models
feature extraction models
transfer learning capabilities
|
gptkbp:supports
|
gptkb:Graphics_Processing_Unit
gptkb:CNTK
gptkb:Theano
multi-GPU training
model fine-tuning
|
gptkbp:updates
|
gptkb:theorem
|