Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software
|
| gptkbp:allows |
model training
|
| gptkbp:developedBy |
gptkb:Google
|
| gptkbp:features |
easy model building
|
| gptkbp:hasOccupation |
active community
|
| https://www.w3.org/2000/01/rdf-schema#label |
TensorFlow Keras API
|
| gptkbp:includes |
pre-trained models
|
| gptkbp:integratesWith |
TensorFlow
|
| gptkbp:isAvailableIn |
2015
GitHub |
| gptkbp:isCompatibleWith |
gptkb:Python_3.x
Jupyter notebooks TensorFlow 2.x Colab |
| gptkbp:isDocumentedIn |
TensorFlow documentation
|
| gptkbp:isOpenTo |
true
|
| gptkbp:isPartOf |
open-source software
machine learning frameworks TensorFlow ecosystem |
| gptkbp:isRated |
TensorFlow framework
|
| gptkbp:isSupportedBy |
TensorFlow community
|
| gptkbp:isUpdatedBy |
Google_engineers
|
| gptkbp:isUsedBy |
data scientists
machine learning engineers |
| gptkbp:isUsedFor |
natural language processing
reinforcement learning image classification model deployment time series forecasting feature extraction generative models |
| gptkbp:isUsedIn |
academic research
industry applications |
| gptkbp:language |
Python
|
| gptkbp:offers |
model serialization
|
| gptkbp:provides |
model evaluation tools
model visualization tools hyperparameter tuning tools data preprocessing utilities layer stacking capabilities high-level_neural_networks_API |
| gptkbp:supports |
callbacks
transfer learning multiple backends custom layers TensorBoard integration convolutional networks multi-input models multi-output models recurrent networks GPU_acceleration |
| gptkbp:usedFor |
deep learning
|