Typo and improvements

Author: leriomaggio

README.md

@@ -161,23 +161,23 @@ I'm currently running this tutorial with **Python 3** on **Anaconda**
 
 ## Setting the Environment
 
-In this repository, files to re-create virtual env with `conda` are provided for Linux and OSX machines, namely 
-`deep-learning.yml`, `deep-learning-osx.yml`, respectively.
+In this repository, files to re-create virtual env with `conda` are provided for Linux and OSX systems, 
+namely `deep-learning.yml` and `deep-learning-osx.yml`, respectively.
 
-To re-create the virtual environments (on Linux):
+To re-create the virtual environments (on Linux, for example):
 
 ```shell
 conda env create -f deep-learning.yml
 ```
 
-On OSX machines, just change the filename, accordingly.
+For OSX, just change the filename, accordingly.
 
 ### Installing Tensorflow
 
-To date `tensorflow` comes in two different packages, namely `tensorflow` and `tensorflow-gpu`, whether you want to install it with 
-CPU-only/GPU support, respectively.
+To date `tensorflow` comes in two different packages, namely `tensorflow` and `tensorflow-gpu`, whether you want to install 
+the framework with CPU-only or GPU support, respectively.
 
-For this reason, `tensorflow` has **not** been included in the provided conda environment files and has to be installed separately.
+For this reason, `tensorflow` has **not** been included in the conda envs and has to be installed separately.
 
 #### Tensorflow for CPU only:
 
@@ -191,23 +191,25 @@ pip install tensorflow
 pip install tensorflow-gpu
 ```
 
-**Note**: NVIDIA Drivers and CuDNN **must** be installed and configured before hand. Please refer to official 
+**Note**: NVIDIA Drivers and CuDNN **must** be installed and configured before hand. Please refer to the official 
 [Tensorflow documentation](https://www.tensorflow.org/install/) for further details.
 
 
 #### Important Note:
 
-All the code provided** in this tutorial is able to run even if `tensorflow` is **not** installed, but using `theano` as the (default) backend!
+All the code provided+ in this tutorial can run even if `tensorflow` is **not** installed, and so using `theano` as the (default) backend!
 
-And **this** is exactly the power of Keras!
+___**This** is exactly the power of Keras!___
 
 Therefore, installing `tensorflow` is **not** stricly required!
 
-**: Apart from the __1.2 Introduction to Tensorflow__ tutorial, of course.
++: Apart from the **1.2 Introduction to Tensorflow** tutorial, of course.
 
 ### Configure Keras with tensorflow
 
-By default, Keras is configured with `theano` as a backend. If you want to use `tensorflow` instead, these are the simple steps to follow:
+By default, Keras is configured with `theano` as backend. 
+
+If you want to use `tensorflow` instead, these are the simple steps to follow:
 
 1) Create the `keras.json` (if it does not exist):
 
@@ -226,6 +228,7 @@ touch $HOME/.keras/keras.json
 }
 ```
 
+3) Verify it is properly configured:
 
 ```python
 !cat ~/.keras/keras.json