[DOCS] Updated the release notes.

Author: eaplatanios

README.md

@@ -111,7 +111,7 @@ are a few useful links:
 
     If you now browse to `https://127.0.0.1:6006` while training, you can see the training progress:
 
-    <img src="assets/images/tensorboard_mnist_example_plot.png" alt="tensorboard_mnist_example_plot" width="600px">
+    <img src="https://platanios.org/tensorflow_scala/assets/images/tensorboard_mnist_example_plot.png" alt="tensorboard_mnist_example_plot" width="600px">
 
   - Efficient interaction with the native library that avoids unnecessary copying of data. All tensors are created and
     managed by the native TensorFlow library. When they are passed to the Scala API (e.g., fetched from a TensorFlow

RELEASE.md

@@ -33,8 +33,9 @@ various ops (e.g., `IsIntOrUInt[Int]`, `IsIntOrUInt[Long]`,
 general implementation of union types for Scala.
 
 Other new features include:
-- `data` module:
-  - Added support for the `mapAndBatch` transformation.
+
+  - `data` module:
+    - Added support for the `mapAndBatch` transformation.
 
 # 0.3.0 Static Data Types and More
 
@@ -56,20 +57,20 @@ val t5 = t3.any()       // Fails at compile-time because `any()` is only
 
 Other new features include:
 
-- Improvements to the high-level learn API:
-  - Layers can now provide and use their own parameter generator, and
-    can also access the current training step
-    (using `Layer.currentStep`).
-  - Layers now support `.map(...)`.
-  - Added support for batch normalization.
-- Added support for `tf.logSigmoid` and `tf.lrn`.
-- Added support for the following new metrics:
-  - Grouped precision.
-  - Precision-at-k.
-- `data` module:
-  - Added support for loading the extreme classification repository
-    datasets (i.e., `data.XCLoader`).
-  - Added support for randomly splitting datasets.
+  - Improvements to the high-level learn API:
+    - Layers can now provide and use their own parameter generator, and
+      can also access the current training step
+      (using `Layer.currentStep`).
+    - Layers now support `.map(...)`.
+    - Added support for batch normalization.
+  - Added support for `tf.logSigmoid` and `tf.lrn`.
+  - Added support for the following new metrics:
+    - Grouped precision.
+    - Precision-at-k.
+  - `data` module:
+    - Added support for loading the extreme classification repository
+      datasets (i.e., `data.XCLoader`).
+    - Added support for randomly splitting datasets.
 
 # 0.2.4 Minor Fix
 

docs/src/main/paradox/release_notes/0.3.0.md

@@ -18,17 +18,17 @@ val t5 = t3.any()       // Fails at compile-time because `any()` is only
 
 Other new features include:
 
-- Improvements to the high-level learn API:
-  - Layers can now provide and use their own parameter generator, and
-    can also access the current training step
-    (using `Layer.currentStep`).
-  - Layers now support `.map(...)`.
-  - Added support for batch normalization.
-- Added support for `tf.logSigmoid` and `tf.lrn`.
-- Added support for the following new metrics:
-  - Grouped precision.
-  - Precision-at-k.
-- `data` module:
-  - Added support for loading the extreme classification repository
-    datasets (i.e., `data.XCLoader`).
-  - Added support for randomly splitting datasets.
+  - Improvements to the high-level learn API:
+    - Layers can now provide and use their own parameter generator, and
+      can also access the current training step
+      (using `Layer.currentStep`).
+    - Layers now support `.map(...)`.
+    - Added support for batch normalization.
+  - Added support for `tf.logSigmoid` and `tf.lrn`.
+  - Added support for the following new metrics:
+    - Grouped precision.
+    - Precision-at-k.
+  - `data` module:
+    - Added support for loading the extreme classification repository
+      datasets (i.e., `data.XCLoader`).
+    - Added support for randomly splitting datasets.

docs/src/main/paradox/release_notes/0.4.0.md

@@ -33,5 +33,6 @@ various ops (e.g., `IsIntOrUInt[Int]`, `IsIntOrUInt[Long]`,
 general implementation of union types for Scala.
 
 Other new features include:
-- `data` module:
-  - Added support for the `mapAndBatch` transformation.
+
+  - `data` module:
+    - Added support for the `mapAndBatch` transformation.