Statements (459)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
gptkb:Library gptkb:machine_learning gptkb:computer |
| gptkbp:api |
gptkb:Keras
gptkb:Tensor_Flow_Extended_(TFX) gptkb:Tensor_Flow.js gptkb:Tensor_Flow_Lite |
| gptkbp:architecture |
application-specific integrated circuit (ASIC)
|
| gptkbp:available_in |
gptkb:cloud_services
various configurations |
| gptkbp:competes_with |
gptkb:NVIDIA
gptkb:FPGA FPGAs GPUs |
| gptkbp:designed_by |
gptkb:Google
|
| gptkbp:designed_for |
AI workloads
|
| gptkbp:developed_by |
gptkb:Google_Brain_team
gptkb:Google gptkb:Google_Brain |
| gptkbp:enables |
real-time processing
faster experimentation |
| gptkbp:enhances |
model training
inference speed |
| gptkbp:features |
low latency
matrix multiplication high efficiency |
| gptkbp:first_introduced |
gptkb:2016
|
| gptkbp:first_released |
gptkb:2015
November 2015 |
| gptkbp:has |
gptkb:tf.keras.applications
gptkb:tf.keras.callbacks._Callback_List gptkb:tf.keras.callbacks._Early_Stopping gptkb:tf.keras.callbacks._History gptkb:tf.keras.callbacks._Learning_Rate_Scheduler gptkb:tf.keras.callbacks._Model_Checkpoint gptkb:tf.keras.callbacks._Tensor_Board gptkb:tf.keras.callbacks._Terminate_On_Na_N gptkb:tf.keras.callbacks._CSVLogger gptkb:tf.keras.callbacks._Reduce_LROn_Plateau gptkb:API gptkb:board_game gptkb:Tensor_Flow_Extended_(TFX) gptkb:Tensor_Flow.js gptkb:Tensor_Flow_Agents gptkb:Tensor_Flow_Datasets gptkb:Tensor_Flow_Extended gptkb:Tensor_Flow_Federated gptkb:Tensor_Flow_Graphics gptkb:Tensor_Flow_Hub gptkb:Tensor_Flow_Lite gptkb:Tensor_Flow_Model_Garden gptkb:Tensor_Flow_Probability gptkb:Tensor_Flow_Quantum gptkb:Tensor_Flow_Serving multiple cores high scalability high memory bandwidth tf.data API tf.function Estimator API tf.distribute tf.keras API tf.keras.callbacks tf.keras.datasets tf.keras.layers tf.keras.losses tf.keras.metrics tf.keras.models tf.keras.optimizers tf.keras.preprocessing tf.keras.utils |
| gptkbp:has_applications_in |
gptkb:sports_team
gptkb:Computer_Vision gptkb:Natural_Language_Processing gptkb:speeches gptkb:machine_learning gptkb:robotics Anomaly Detection Image Recognition Recommendation Systems Time Series Analysis language translation computer vision data visualization financial forecasting image recognition natural language processing predictive analytics supply chain optimization time series analysis Generative Models reinforcement learning speech recognition chatbots customer segmentation video game development weather prediction fraud detection object detection predictive maintenance recommendation systems self-driving cars video analysis healthcare analytics text generation anomaly detection image segmentation art generation virtual assistants social media analysis marketing analytics face recognition generative models energy consumption forecasting music generation gaming AI |
| gptkbp:has_community |
open-source community
Large Community large community Tensor Flow Community |
| gptkbp:has_documentation |
extensive documentation
comprehensive documentation Tensor Flow Documentation |
| gptkbp:has_feature |
gptkb:API
gptkb:multiple_platforms gptkb:board_game gptkb:Tensor_Flow_Extended_(TFX) gptkb:Tensor_Flow.js gptkb:Tensor_Flow_Agents gptkb:Tensor_Flow_Datasets gptkb:Tensor_Flow_Decision_Forests_API gptkb:Tensor_Flow_Federated_API gptkb:Tensor_Flow_Lite gptkb:Tensor_Flow_Lite_Converter gptkb:Tensor_Flow_Model_Optimization_Toolkit gptkb:Tensor_Flow_Privacy gptkb:Tensor_Flow_Recommenders gptkb:Tensor_Flow_Serving data preprocessing Model Deployment Model Optimization cloud integration community support computer vision distributed computing hyperparameter tuning logging natural language processing open-source time series analysis visualization tools callbacks loss functions model evaluation reinforcement learning quantization cross-platform compatibility data augmentation feature engineering flexible architecture high-level APIs pre-trained models pruning transfer learning ensemble methods regularization techniques model deployment Automatic Differentiation metrics research applications data pipelines model training activation functions multi-GPU support Distributed Training distributed training model optimization optimizers model checkpoints automatic differentiation mobile deployment tf.data API dropout model compression custom layers batch normalization production applications model serving low-level APIs GPU support Eager Execution Tensor Flow Addons API Tensor Flow Graphics API Tensor Flow Hub Modules Tensor Flow Quantum API tf.function tf.keras TPU Support custom training loops model saving and loading Eager execution TPU support cloud TPU support graph-based computation |
| gptkbp:has_library |
gptkb:Tensor_Flow.js
gptkb:Tensor_Flow_Addons gptkb:Tensor_Flow_Decision_Forests gptkb:Tensor_Flow_Extended gptkb:Tensor_Flow_Federated gptkb:Tensor_Flow_Graphics gptkb:Tensor_Flow_Hub gptkb:Tensor_Flow_Lite gptkb:Tensor_Flow_Model_Garden gptkb:Tensor_Flow_Probability gptkb:Tensor_Flow_Quantum |
| gptkbp:has_version |
gptkb:2.0
gptkb:2.76 1.0 2.1 2.2 2.3 2.4 2.6 2.8 2.95 2.14 2.19 2.23 2.47 2.88 2.9 2.26 2.5 2.7 2.75 2.84 2.37 2.46 2.45 2.55 2.78 2.81 1.15 2.51 2.50 2.71 2.65 2.13 2.49 2.10 2.42 2.85 2.87 2.12 2.32 2.20 2.34 2.36 2.15 2.52 2.31 2.58 2.90 2.67 2.16 2.21 2.24 2.40 2.77 2.57 2.99 2.30 2.86 2.17 2.54 2.43 2.56 2.53 2.48 2.94 2.68 2.83 2.22 2.38 2.80 2.98 2.93 2.66 2.28 2.63 2.70 2.64 2.73 2.91 2.25 2.44 2.89 2.62 2.69 2.92 2.79 2.29 2.82 2.74 2.61 2.59 2.11 2.18 2.27 2.33 2.39 2.97 2.35 2.96 2.41 2.60 2.72 2.100 |
| gptkbp:has_website |
tensorflow.org
|
| https://www.w3.org/2000/01/rdf-schema#label |
Tensor Flow
|
| gptkbp:includes |
gptkb:TPU_Pods
|
| gptkbp:is |
cloud-based
cost-effective flexible high-performance scalable innovative powerful energy-efficient reliable custom-built specialized highly parallel |
| gptkbp:is_a_hub_for |
github.com/tensorflow/tensorflow
|
| gptkbp:is_available_for |
edge computing
on-premises deployment |
| gptkbp:is_available_in |
various configurations
|
| gptkbp:is_compatible_with |
gptkb:Linux
gptkb:mac_OS gptkb:Windows |
| gptkbp:is_integrated_with |
gptkb:Google_Cloud_Platform
Google AI infrastructure |
| gptkbp:is_known_for |
energy efficiency
high performance cost-effectiveness |
| gptkbp:is_optimized_for |
gptkb:neural_networks
deep learning |
| gptkbp:is_part_of |
Google AI ecosystem
|
| gptkbp:is_supported_by |
various software frameworks
|
| gptkbp:is_used_for |
deep learning
|
| gptkbp:is_used_in |
gptkb:AI_technology
computer vision natural language processing |
| gptkbp:is_utilized_by |
gptkb:Google_services
|
| gptkbp:language |
gptkb:Python
|
| gptkbp:license |
Apache License 2.0
|
| gptkbp:manufacturer |
third-party vendors
|
| gptkbp:offers |
high energy efficiency
custom machine learning models |
| gptkbp:performance |
high throughput
|
| gptkbp:platforms |
gptkb:Linux
gptkb:mac_OS gptkb:Windows |
| gptkbp:programming_language |
gptkb:Python
|
| gptkbp:project |
Tensor Flow Examples
|
| gptkbp:provides |
gptkb:TF_Lite
gptkb:API gptkb:TF_Hub gptkb:board_game gptkb:TF.js flexible architecture accelerated computing scalable performance tf.data API accelerated training accelerated inference TF Serving tf.keras API tf.estimator API |
| gptkbp:release_date |
November 2015
|
| gptkbp:released_on |
November 2015
|
| gptkbp:successor |
gptkb:TPU_v3
gptkb:TPU_v2 |
| gptkbp:supports |
gptkb:Tensor_Flow
gptkb:mobile_devices gptkb:multiple_platforms gptkb:neural_networks gptkb:Deep_Learning gptkb:cloud_services GPU acceleration distributed computing data flow graphs large-scale machine learning dataflow programming TPU acceleration tensor computations bfloat16 operations float16 operations |
| gptkbp:tutorials |
extensive tutorials
many tutorials Tensor Flow Tutorials |
| gptkbp:use_case |
gptkb:sports_team
gptkb:robotics gptkb:smart_home_devices data analysis language translation computer vision financial modeling image recognition natural language processing network security predictive analytics supply chain optimization time series analysis reinforcement learning speech recognition chatbots artificial intelligence research climate modeling customer service automation fraud detection object detection recommendation systems self-driving cars video analysis text generation anomaly detection image segmentation healthcare applications virtual assistants social media analysis face recognition generative models style transfer e-commerce personalization energy consumption prediction gaming AI |
| gptkbp:used_by |
gptkb:developers
gptkb:Google_services gptkb:researchers data scientists |
| gptkbp:used_for |
gptkb:machine_learning
deep learning |
| gptkbp:used_in |
gptkb:Google_data_centers
gptkb:Google_Cloud gptkb:research Production research and development |
| gptkbp:uses |
gptkb:Matplotlib
gptkb:Pandas gptkb:Sci_Py gptkb:Jupyter_Notebook gptkb:Num_Py |
| gptkbp:written_in |
gptkb:C++
gptkb:Python |
| gptkbp:bfsParent |
gptkb:machine_learning
gptkb:weapons |
| gptkbp:bfsLayer |
3
|