empty string array is a valid tag. TF 1.x model does not have any tags

* Remove keras package. In issue #109, we decided to work toward a single framework API for now.

* Created tensorflow-framework/README.md and linked it from the main readme.

* Initial checkin of Keras Optimzers and helper classes.
Fixed dependencies in pom.xml

* Added static final NAME to replace hardcoded String in the create method. This allows the NAME to be used elsewhere instead of hardcoding the string.

* Changed of method to use the DataType NAME attribute rather than hardcoding the string.
added methods isFloating(), isInteger(), isNUmeric(), isBoolean() and isString()

* Added method WriteFieldWithInitializer to output a "final static String OP_NAME" to each generated operation.

* Added tf.nn.softmaxCrossEntropyWitLogits() and tf.nn.raw.softmaxCrossEntropyWitLogits()
Added tf.nn.sparesSoftmaxCrossEntropyWithLogits() and
tf.nn.raw.sparesSoftmaxCrossEntropyWithLogits()

Added tf.nn.sigmoidCrossEntropyWithLogits()

* Moved SoftmaxCrossEntropyWithLogits and  SparseSoftmaxCrossEntropyWithLogits to org.tensorflow.op.nn.raw

* Generated classes now have public static final String OP_NAME = "XXXXXXXX";

* Generated classes now have public static final String OP_NAME = "XXXXXXXX";

* fix dependencies for other Tensorflow Java modules

* formatting fix

* Fix ctors with name to properly pass the name to the the super ctor.

* change asserts to IllegalArgumentException
fix javadoc, fix casts

* change asserts to IllegalArgumentException

* Moved back to tests

* Moved SoftmaxCrossEntropyWithLogits.java and SparseSoftmaxCrossEntropyWithLogits.java to nn.raw,
added new versions of these to NnOps

* Deleted files that are not necessary yet

* Added nn.raw group for softmaxCrossEntropyWithLogits() and sparseSoftmaxCrossEntropyWithLogits()

* Added nn.raw group for softmaxCrossEntropyWithLogits() and sparseSoftmaxCrossEntropyWithLogits()

* Refactor NN into individual operations under org.tensorflow.op.nn. Fix JavaDoc. Change from snake case to camel case.

* Refactor NN into individual operations under org.tensorflow.op.nn. Fix JavaDoc. Change from snake case to camel case.

* Reformatted code

* Added sub scope

* Miscellaneous fixes based on review comments.

* Fixed op_generator.cc to remove a spurious new line in the generated Java files for some Ops. This also  resulted in new generated  source that are also committed.

* Changed back to non-generic Operand until we resolve how to handle generics.

* Regenerated due to creation of SoftmaxCrossEntropyWithLogits.java,  SigmoidCrossEntropyWithLogits.java, and SparseSoftmaxCrossEntropyWithLogits.java under package org.tensorflow.op.nn in

* change snake case to camel case. format code

* clean upd warning,  format code

* Added Adamax, Ftrl, and Nadam Optimizers. Added Optimizers enum for easy inclusion of a default optimizer. Cleaned up JavaDoc

* Removed optimize classes from tensorflow-keras, moved optimizer test cases to framework. Created Tests for GradientDescent and Momentum

* Fixed generics

* Fixed from Unit test results

* added @SuppressWarnings("unchecked") on Variable array

* Added Support for evaluating TFloat16

* Add Activations

* Remove no-arg CTORs

* Fix Unit Tests to include positive and negative numbers on input.

* Modify JavaDoc indicating Linear activation is also known as Identity activation

* Changed DEFAULT values from private to public

* Fixed last sum to be over 'e' instead of 'input'

* Added tests for various parameter constructs.

* added tests for 1D and 3D input

* Change snake case to camel case

* JavaDoc fixes

* Add TFloating family

* Add JavaDoc

* Changed to TFloating where appropriate.
Misc fixes to JavaDoc.
In ReLU, change to assign to new variable 'lInput' rather than change the 'input' parameter.

* Remove the test of int arguments for those classes changed to TFloating type, as they would no longer compile.

* Remove the test of int arguments for those classes changed to TFloating type, as they would no longer compile.

* Make LeakyRelu visible so that it is included in tf.nn.

* Remove TNumber import

* Add tf.nn.leakyRelu operation