docs: Preparing release notes for v1.5.3

Signed-off-by: mandar2812 <[email protected]>

Author: mandar2812

docs/images/inception.png

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+!!! summary ""
+    Version 1.5.3 of DynaML, released August 13, 2017, .
+
+
+## Additions
+
+### Tensorflow Integration
+ 
+ 
+ **Package** `dynaml.tensorflow`
+ 
+ #### Inception v2
+ 
+ The [_Inception_](https://www.cs.unc.edu/~wliu/papers/GoogLeNet.pdf) architecture, proposed by Google is an important
+ building block of _convolutional neural network_ architectures used in vision applications.
+ 
+ ![inception](https://github.com/transcendent-ai-labs/DynaML/blob/master/docs/images/inception.png)
+ 
+ DynaML now offers the Inception cell as a computational layer. 
+ 
+ ```scala
+ import io.github.mandar2812.dynaml.pipes._
+ import io.github.mandar2812.dynaml.tensorflow._
+ import org.platanios.tensorflow.api._
+ 
+ //Create an RELU activation, given a string name/identifier.
+ val relu_act = DataPipe(tf.learn.ReLU(_))
+ 
+ //Learn 10 filters in each branch of the inception cell
+ val filters = Seq(10, 10, 10, 10)
+ 
+ val inception_cell = dtflearn.inception_unit(
+   channels = 3,  num_filters = filters, relu_act,
+   //Apply batch normalisation after each convolution
+   use_batch_norm = true)(layer_index = 1)
+ 
+ ```
+ 
+
+### Library Organisation
+ 
+ - Removed the `dynaml-notebook` module.
+ 
+## Bugfixes
+
+ 
+## Changes
+