Add section to readme

Signed-off-by: Ryan Nett <rnett@calpoly.edu>

Author: rnett

README.md

@@ -21,13 +21,18 @@ The following describes the layout of the repository and its different artifacts
 * `tensorflow-core`
   * All artifacts that build up the core language bindings of TensorFlow for Java
   * Intended audience: projects 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 
+    TensorFlow and just want a thin layer to access the TensorFlow runtime from the JVM
 
+* `tensorflow-core-kotlin`
+  * Kotlin API bindings for `tensorflow-core`.  These are thin wrappers around the core APIs
+    to make them more idiomatic for use in Kotlin, such as using parameters with default values
+    operation builders instead of an `Options` vararg.
+  
 * `tensorflow-framework`
   * Primary API for building and training neural networks with TensorFlow
   * Intended audience: neural network developers
   * For more information: [tensorflow-framework/README.md](tensorflow-framework/README.md)
-     
+  
 * `ndarray`
   * Generic utility library for n-dimensional data I/O operations
   * Used by TensorFlow but does not depend on TensorFlow
@@ -117,6 +122,12 @@ the platforms you are targeting. For this purpose the `-platform` artifacts incl
 the conventions established on this page:
 * [Reducing the Number of Dependencies](https://github.com/bytedeco/javacpp-presets/wiki/Reducing-the-Number-of-Dependencies)
 
+### Kotlin API
+
+Since the Kotlin API is just a wrapper of the Java API, it uses the Java platform artifacts instead of providing its own.
+To use, follow the instructions above for the Java API, but add `tensorflow-core-kotlin-api`, 
+replacing `tensorflow-core-api` if you have explicitly included it.
+
 ### Snapshots
 
 Snapshots of TensorFlow Java artifacts are automatically distributed after each update in the code. To use them, you need