11# TensorFlow for Java
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4- <td>
5- <a target="_blank" href="https://www.tensorflow.org/jvm"><img src="https://www.tensorflow.org/images/tf_logo_32px.png" />View on TensorFlow.org</a>
6- </td >
7- <td >
8- <a target="_blank" href="https://github.com/tensorflow/java"><img src="https://www.tensorflow.org/images/GitHub-Mark-32px.png" />View GitHub repository</a>
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123TensorFlow Java can run on any JVM for building, training and running machine learning models. It comes with
134a series of utilities and frameworks that help achieve most of the tasks common to data scientists
145and developers working in this domain. Java and other JVM languages, such as Scala or Kotlin, are
@@ -26,21 +17,19 @@ migrated from Bazel to Maven, which is more familiar for most Java developers.
2617
2718The following describes the layout of the repository and its different artifacts:
2819
29- * [ tensorflow-core] ( https://github.com/tensorflow/java/tree/master/tensorflow-core )
30- * All artifacts that build up the core language bindings of TensorFlow for Java
31- * Intended audience: projects that provide their own APIs or frameworks on top of
32- TensorFlow and just want a thin layer to access the TensorFlow runtime from the JVM
33-
34- * [ tensorflow-framework] ( https://github.com/tensorflow/java/tree/master/tensorflow-framework )
35- * Primary API for building and training neural networks with TensorFlow
36- * Intended audience: neural network developers
20+ ### [ tensorflow-core] ( https://github.com/tensorflow/java/tree/master/tensorflow-core )
21+ * ** Intended audience** : developers who wants to deploy a TensorFlow model on a JVM for inference. Also for projects
22+ that provide their own APIs or frameworks on top of TensorFlow and just want a thin layer to access the TensorFlow runtime from the JVM.
23+ * All artifacts that make up the core language bindings of TensorFlow for Java.
3724
38- * [ ndarray] ( https://github.com/tensorflow/java-ndarray )
39- * Generic utility library for n-dimensional data I/O operations
40- * Used by TensorFlow but does not depend on TensorFlow
41- * Intended audience: any developer who needs a Java n-dimensional array implementation, whether or not they
42- use it with TensorFlow
25+ ### [ tensorflow-framework] ( https://github.com/tensorflow/java/tree/master/tensorflow-framework )
26+ * ** Intended audience** : neural network developers.
27+ * Primary API for building and training neural networks with TensorFlow.
4328
29+ ### [ ndarray] ( https://github.com/tensorflow/java-ndarray )
30+ * ** Intended audience** : any developer who needs a Java n-dimensional array implementation, whether or not they use it with TensorFlow.
31+ * Generic utility library for n-dimensional data I/O operations.
32+ * Used by TensorFlow but does not depend on TensorFlow.
4433
4534## Communication
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