Home » ai.djl.tensorflow » tensorflow-model-zoo » 0.23.0

DJL Model Zoo For TensorFlow » 0.23.0

DJL model zoo for TensorFlow

LicenseApache 2.0
Tagsmodeltensorflowaimachine-learning
HomePage http://www.djl.ai/engines/tensorflow/tensorflow-model-zoo 🔍 Inspect URL
DateJul 12, 2023
Filespom (1 KB)  jar (9 KB)  View All
RepositoriesCentralNutz
Ranking#63252 in MvnRepository (See Top Artifacts)
Used By8 artifacts

Note: There is a new version for this artifact

New Version0.35.0

Scope:
Scope:
Format:
Scope:
Scope:
Scope:
Scope:
Scope:
Scope:

Compile Dependencies (1)

Category/License Group / ArtifactVersionUpdates

Apache 2.0		ai.djl.tensorflow » tensorflow-engine 0.23.00.35.0

Licenses

LicenseURL
The Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0

Developers

NameEmailDev IdRolesOrganization
DJL.AI Teamdjl-dev<at>amazon.comAmazon AI

Related Books

Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java EnterpriseApplied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise (2025)
by Bueno, Alex Soto, Eisele, Markus, Vinto, Natale
AI for Everyday IT: Accelerate workplace productivityAI for Everyday IT: Accelerate workplace productivity (2025)
by LeMaire, Chrissy, Abshire, Brandon
The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI SystemsThe AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems (2025)
by Caldwell, Thomas R.
Machine Learning Algorithms in DepthMachine Learning Algorithms in Depth (2025)
by Smolyakov, Vadim
AI Engineering: Building Applications with Foundation ModelsAI Engineering: Building Applications with Foundation Models (2025)
by Huyen, Chip
Ultimate Java for Data Analytics and Machine Learning: Unlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (English Edition)Ultimate Java for Data Analytics and Machine Learning: Unlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (English Edition) (2024)
by Kumar, Abhishek
Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the CloudArchitecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (2023)
by Tranquillin, Marco, Lakshmanan, Valliappa, Tekiner, Firat
Machine Learning System Design InterviewMachine Learning System Design Interview (2023)
by Aminian, Ali, Xu, Alex
Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved AlgorithmicallyApplied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically (2022)
by Prosise, Jeff
Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd EditionDeep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition (2022)
by Kapoor, Amita, Gulli, Antonio, Pal, Sujit, Chollet, Francois
Designing Machine Learning Systems: An Iterative Process for Production-Ready ApplicationsDesigning Machine Learning Systems: An Iterative Process for Production-Ready Applications (2022)
by Huyen, Chip
Machine Learning Engineering in ActionMachine Learning Engineering in Action (2022)
by Wilson, Ben
TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning ModelsTensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models (2021)
by Tung, KC
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOpsMachine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (2020)
by Lakshmanan, Valliappa, Robinson, Sara, Munn, Michael
AI and Machine Learning for Coders: A Programmer's Guide to Artificial IntelligenceAI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence (2020)
by Moroney, Laurence
TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power MicrocontrollersTinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers (2020)
by Warden, Pete, Situnayake, Daniel
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd EditionMachine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition (2018)
by Bhatia, AshishSingh, Kaluza, Bostjan
Learning TensorFlow: A Guide to Building Deep Learning SystemsLearning TensorFlow: A Guide to Building Deep Learning Systems (2017)
by Hope, Tom, Resheff, Yehezkel S., Lieder, Itay