Home » org.tensorflow » tensorflow-core-api » 1.0.0-rc.1

TensorFlow API » 1.0.0-rc.1

Platform-dependent native code and pure-Java code for the TensorFlow machine intelligence library.

LicenseApache 2.0
Tagstensorflowapimachine-learning
DateApr 08, 2024
Filespom (9 KB)  jar (3.8 MB)  View All
RepositoriesCentralMulesoft
Ranking#13809 in MvnRepository (See Top Artifacts)
Used By35 artifacts

Note: There is a new version for this artifact

New Version1.1.0

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

Compile Dependencies (2)

Category/License Group / ArtifactVersionUpdates

Apache 2.0		org.tensorflow » ndarray 1.0.0-rc.11.0.0

Apache 2.0		org.tensorflow » tensorflow-core-native 1.0.0-rc.11.1.0

Test Dependencies (6)

Category/License Group / ArtifactVersionUpdates
Assertion
Apache 2.0		com.google.truth » truth 1.1.51.4.5
Testing
EPL 2.0		org.junit.jupiter » junit-jupiter-api 5.10.06.0.1
Testing
EPL 2.0		org.junit.jupiter » junit-jupiter-engine 5.10.06.0.1
Microbenchmarks
GPL 2.0		org.openjdk.jmh » jmh-core 1.37 ✔
Annotation Tool
GPL 2.0		org.openjdk.jmh » jmh-generator-annprocess 1.37 ✔

Apache 2.0		org.tensorflow » tensorflow-core-native 1.0.0-rc.11.1.0

Licenses

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

Developers

NameEmailDev IdRolesOrganization
SIG JVMTensorFlow

Related Books

Spring Boot 3 API Mastery: Write scalable, reactive, and secure APIs for microservices with Spring Boot 3 and Java 21 (English Edition)Spring Boot 3 API Mastery: Write scalable, reactive, and secure APIs for microservices with Spring Boot 3 and Java 21 (English Edition) (2025)
by Racca, Vincenzo
Machine Learning Algorithms in DepthMachine Learning Algorithms in Depth (2025)
by Smolyakov, Vadim
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
Modern API Development with Spring 6 and Spring Boot 3: Design scalable, viable, and reactive APIs with REST, gRPC, and GraphQL using Java 17 and Spring Boot 3Modern API Development with Spring 6 and Spring Boot 3: Design scalable, viable, and reactive APIs with REST, gRPC, and GraphQL using Java 17 and Spring Boot 3 (2023)
by Sharma, Sourabh
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
Mastering API Architecture: Design, Operate, and Evolve API-Based SystemsMastering API Architecture: Design, Operate, and Evolve API-Based Systems (2022)
by Gough, James, Bryant, Daniel, Auburn, Matthew
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
Hacking APIs: Breaking Web Application Programming InterfacesHacking APIs: Breaking Web Application Programming Interfaces (2022)
by Ball, Corey J.
Designing APIs with Swagger and OpenAPIDesigning APIs with Swagger and OpenAPI (2022)
by Ponelat, Joshua S., Rosenstock, Lukas L.
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
API Design PatternsAPI Design Patterns (2022)
by JJ Geewax, Sarah Dawe, Manning Publications
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
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
Practical API Design: Confessions of a Java Framework ArchitectPractical API Design: Confessions of a Java Framework Architect (2008)
by Tulach, Jaroslav