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Remove references to TensorFlow in the library name
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ndarray/README.md

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# TensorFlow NdArray
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# NdArray Java Library
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## Introduction
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TensorFlow NdArray is a utility library used by TensorFlow to accomplish tasks that are not easily
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achievable using a standard JDK. As opposed to other artifacts in this repository, this library does
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not depend on TensorFlow runtime itself and can be imported by any other projects running on a JVM
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that wants to make use of those tools. For example, an instance of `NdArray` could easily be passed
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from one library to another for sharing data.
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NdArray is a library exposing utilities for manipulating data in a n-dimensional space in Java.
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Unlike other Java artifacts distributed by TensorFlow, this library does not depend on the TensorFlow
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runtime, therefore is very lightweight and can be used by any kind of Java project.
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To import TensorFlow NdArray in your project, simply add the following dependency:
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To import the NdArray library in your project, simply add the following dependency:
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```xml
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<dependency>
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<groupId>org.tensorflow</groupId>
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## Integration with TensorFlow
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TensorFlow NdArray library is independent of the TensorFlow runtime library, making it a good choice for
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manipulating multi-dimensional data structures from anywhere. As an example, here
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is how it is actually done by the [TensorFlow Core API](https://github.com/tensorflow/java/tree/master/tensorflow-core/tensorflow-core-api):
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The NdArray library is independent of the TensorFlow runtime library, making it a good choice for
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manipulating multi-dimensional data structures from anywhere. But as an example, here
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is how it is actually being used by the [TensorFlow Core API](https://github.com/tensorflow/java/tree/master/tensorflow-core/tensorflow-core-api):
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```java
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// Allocate a tensor of 32-bits integer of the shape (2, 3, 2)

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