diff --git a/tensorflow-examples/pom.xml b/tensorflow-examples/pom.xml
index 276a10f..b6e41a7 100644
--- a/tensorflow-examples/pom.xml
+++ b/tensorflow-examples/pom.xml
@@ -18,25 +18,15 @@
     <dependency>
       <groupId>org.tensorflow</groupId>
       <artifactId>tensorflow-core-platform</artifactId>
-      <version>0.1.0-SNAPSHOT</version>
+      <version>0.2.0</version>
     </dependency>
     <dependency>
       <groupId>org.tensorflow</groupId>
       <artifactId>tensorflow-framework</artifactId>
-      <version>0.1.0-SNAPSHOT</version>
+      <version>0.2.0</version>
     </dependency>
   </dependencies>
 
-  <repositories>
-    <repository>
-      <id>tensorflow-snapshots</id>
-      <url>https://oss.sonatype.org/content/repositories/snapshots/</url>
-      <snapshots>
-        <enabled>true</enabled>
-      </snapshots>
-    </repository>
-  </repositories>
-
   <build>
     <plugins>
       <plugin>
diff --git a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/cnn/lenet/CnnMnist.java b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/cnn/lenet/CnnMnist.java
index a590d30..5b29722 100644
--- a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/cnn/lenet/CnnMnist.java
+++ b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/cnn/lenet/CnnMnist.java
@@ -38,12 +38,12 @@
 import org.tensorflow.op.nn.MaxPool;
 import org.tensorflow.op.nn.Relu;
 import org.tensorflow.op.nn.Softmax;
-import org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits;
+import org.tensorflow.op.nn.raw.SoftmaxCrossEntropyWithLogits;
 import org.tensorflow.op.random.TruncatedNormal;
-import org.tensorflow.tools.Shape;
-import org.tensorflow.tools.ndarray.ByteNdArray;
-import org.tensorflow.tools.ndarray.FloatNdArray;
-import org.tensorflow.tools.ndarray.index.Indices;
+import org.tensorflow.ndarray.Shape;
+import org.tensorflow.ndarray.ByteNdArray;
+import org.tensorflow.ndarray.FloatNdArray;
+import org.tensorflow.ndarray.index.Indices;
 import org.tensorflow.framework.optimizers.AdaDelta;
 import org.tensorflow.framework.optimizers.AdaGrad;
 import org.tensorflow.framework.optimizers.AdaGradDA;
@@ -160,8 +160,8 @@ public static Graph build(String optimizerName) {
     // Loss function & regularization
     OneHot<TFloat32> oneHot = tf
         .oneHot(labels, tf.constant(10), tf.constant(1.0f), tf.constant(0.0f));
-    SoftmaxCrossEntropyWithLogits<TFloat32> batchLoss = tf.nn
-        .softmaxCrossEntropyWithLogits(logits, oneHot);
+    SoftmaxCrossEntropyWithLogits<TFloat32> batchLoss = tf.nn.raw
+            .softmaxCrossEntropyWithLogits(logits, oneHot);
     Mean<TFloat32> labelLoss = tf.math.mean(batchLoss.loss(), tf.constant(0));
     Add<TFloat32> regularizers = tf.math.add(tf.nn.l2Loss(fc1Weights), tf.math
         .add(tf.nn.l2Loss(fc1Biases),
diff --git a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/cnn/vgg/VGGModel.java b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/cnn/vgg/VGGModel.java
index 3519517..13f3ff6 100644
--- a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/cnn/vgg/VGGModel.java
+++ b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/cnn/vgg/VGGModel.java
@@ -35,12 +35,12 @@
 import org.tensorflow.op.nn.Conv2d;
 import org.tensorflow.op.nn.MaxPool;
 import org.tensorflow.op.nn.Relu;
-import org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits;
+import org.tensorflow.op.nn.raw.SoftmaxCrossEntropyWithLogits;
 import org.tensorflow.op.random.TruncatedNormal;
-import org.tensorflow.tools.Shape;
-import org.tensorflow.tools.ndarray.ByteNdArray;
-import org.tensorflow.tools.ndarray.FloatNdArray;
-import org.tensorflow.tools.ndarray.index.Indices;
+import org.tensorflow.ndarray.Shape;
+import org.tensorflow.ndarray.ByteNdArray;
+import org.tensorflow.ndarray.FloatNdArray;
+import org.tensorflow.ndarray.index.Indices;
 import org.tensorflow.types.TFloat32;
 import org.tensorflow.types.TUint8;
 
@@ -159,7 +159,7 @@ public static Add<TFloat32> buildFCLayersAndRegularization(Ops tf, Placeholder<T
         // Loss function & regularization
         OneHot<TFloat32> oneHot = tf
                 .oneHot(labels, tf.constant(10), tf.constant(1.0f), tf.constant(0.0f));
-        SoftmaxCrossEntropyWithLogits<TFloat32> batchLoss = tf.nn
+        SoftmaxCrossEntropyWithLogits<TFloat32> batchLoss = tf.nn.raw
                 .softmaxCrossEntropyWithLogits(logits, oneHot);
         Mean<TFloat32> labelLoss = tf.math.mean(batchLoss.loss(), tf.constant(0));
         Add<TFloat32> regularizers = tf.math.add(tf.nn.l2Loss(fc1Weights), tf.math
diff --git a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/ImageBatch.java b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/ImageBatch.java
index 61100cb..a6e1b11 100644
--- a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/ImageBatch.java
+++ b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/ImageBatch.java
@@ -16,7 +16,7 @@
  */
 package org.tensorflow.model.examples.datasets;
 
-import org.tensorflow.tools.ndarray.ByteNdArray;
+import org.tensorflow.ndarray.ByteNdArray;
 
 /** Batch of images for batch training. */
 public class ImageBatch {
diff --git a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/ImageBatchIterator.java b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/ImageBatchIterator.java
index f9f6739..6651cbd 100644
--- a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/ImageBatchIterator.java
+++ b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/ImageBatchIterator.java
@@ -16,11 +16,13 @@
  */
 package org.tensorflow.model.examples.datasets;
 
-import static org.tensorflow.tools.ndarray.index.Indices.range;
+import static org.tensorflow.ndarray.index.Indices.range;
 
 import java.util.Iterator;
-import org.tensorflow.tools.ndarray.ByteNdArray;
-import org.tensorflow.tools.ndarray.index.Index;
+
+import org.tensorflow.ndarray.index.Index;
+import org.tensorflow.ndarray.ByteNdArray;
+import org.tensorflow.ndarray.index.Index;
 
 /** Basic batch iterator across images presented in datset. */
 public class ImageBatchIterator implements Iterator<ImageBatch> {
diff --git a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/mnist/MnistDataset.java b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/mnist/MnistDataset.java
index caec509..a2ffe92 100644
--- a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/mnist/MnistDataset.java
+++ b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/datasets/mnist/MnistDataset.java
@@ -18,17 +18,17 @@
 
 import org.tensorflow.model.examples.datasets.ImageBatch;
 import org.tensorflow.model.examples.datasets.ImageBatchIterator;
-import org.tensorflow.tools.Shape;
-import org.tensorflow.tools.buffer.DataBuffers;
-import org.tensorflow.tools.ndarray.ByteNdArray;
-import org.tensorflow.tools.ndarray.NdArrays;
+import org.tensorflow.ndarray.Shape;
+import org.tensorflow.ndarray.buffer.DataBuffers;
+import org.tensorflow.ndarray.ByteNdArray;
+import org.tensorflow.ndarray.NdArrays;
 
 import java.io.DataInputStream;
 import java.io.IOException;
 import java.util.zip.GZIPInputStream;
 
-import static org.tensorflow.tools.ndarray.index.Indices.from;
-import static org.tensorflow.tools.ndarray.index.Indices.to;
+import static org.tensorflow.ndarray.index.Indices.from;
+import static org.tensorflow.ndarray.index.Indices.to;
 
 /** Common loader and data preprocessor for MNIST and FashionMNIST datasets. */
 public class MnistDataset {
diff --git a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/dense/SimpleMnist.java b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/dense/SimpleMnist.java
index fb7e63a..994aae3 100644
--- a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/dense/SimpleMnist.java
+++ b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/dense/SimpleMnist.java
@@ -30,8 +30,8 @@
 import org.tensorflow.op.core.Variable;
 import org.tensorflow.op.math.Mean;
 import org.tensorflow.op.nn.Softmax;
-import org.tensorflow.tools.Shape;
-import org.tensorflow.tools.ndarray.ByteNdArray;
+import org.tensorflow.ndarray.Shape;
+import org.tensorflow.ndarray.ByteNdArray;
 import org.tensorflow.types.TFloat32;
 import org.tensorflow.types.TInt64;
 
diff --git a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/regression/linear/LinearRegressionExample.java b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/regression/linear/LinearRegressionExample.java
index a887b50..b8f7f24 100644
--- a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/regression/linear/LinearRegressionExample.java
+++ b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/regression/linear/LinearRegressionExample.java
@@ -29,7 +29,7 @@
 import org.tensorflow.op.math.Div;
 import org.tensorflow.op.math.Mul;
 import org.tensorflow.op.math.Pow;
-import org.tensorflow.tools.Shape;
+import org.tensorflow.ndarray.Shape;
 import org.tensorflow.types.TFloat32;
 
 import java.util.List;
diff --git a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/tensors/TensorCreation.java b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/tensors/TensorCreation.java
index 2487123..8533d90 100644
--- a/tensorflow-examples/src/main/java/org/tensorflow/model/examples/tensors/TensorCreation.java
+++ b/tensorflow-examples/src/main/java/org/tensorflow/model/examples/tensors/TensorCreation.java
@@ -17,9 +17,9 @@
 package org.tensorflow.model.examples.tensors;
 
 import org.tensorflow.Tensor;
-import org.tensorflow.tools.Shape;
-import org.tensorflow.tools.ndarray.IntNdArray;
-import org.tensorflow.tools.ndarray.NdArrays;
+import org.tensorflow.ndarray.Shape;
+import org.tensorflow.ndarray.IntNdArray;
+import org.tensorflow.ndarray.NdArrays;
 import org.tensorflow.types.TInt32;
 
 import java.util.Arrays;