Added ch15/readme (rasbt#95)

* Added ch15/readme

* Fixed the notebook links

ch15/README.md

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+Python Machine Learning - Code Examples
+
+
+##  Chapter 15: Classifying Images with Deep Convolutional Neural Networks
+
+
+### Chapter Outline
+
+- The building blocks of CNNs
+  - Understanding CNNs and feature hierarchies
+  - Performing discrete convolutions
+    - Discrete convolutions in one dimension
+    - Padding inputs to control the size of the output feature maps
+    - Determining the size of the convolution output
+    - Performing a discrete convolution in 2D
+  - Subsampling layers
+  - Putting everything together – implementing a CNN
+    - Working with multiple input or color channels
+    - Regularizing an NN with dropout
+  - Loss functions for classification
+- Implementing a deep CNN using TensorFlow
+  - The multilayer CNN architecture
+  - Loading and preprocessing the data
+  - Implementing a CNN using the TensorFlow Keras API
+    - Configuring CNN layers in Keras
+    - Constructing a CNN in Keras
+  - Gender classification from face images using a CNN
+    - Loading the CelebA dataset
+    - Image transformation and data augmentation
+    - Training a CNN gender classifier
+- Summary
+
+### A note on using the code examples
+
+The recommended way to interact with the code examples in this book is via Jupyter Notebook (the `.ipynb` files). Using Jupyter Notebook, you will be able to execute the code step by step and have all the resulting outputs (including plots and images) all in one convenient document.
+
+![](../ch02/images/jupyter-example-1.png)
+
+
+
+Setting up Jupyter Notebook is really easy: if you are using the Anaconda Python distribution, all you need to install jupyter notebook is to execute the following command in your terminal:
+
+    conda install jupyter notebook
+
+Then you can launch jupyter notebook by executing
+
+    jupyter notebook
+
+A window will open up in your browser, which you can then use to navigate to the target directory that contains the `.ipynb` file you wish to open.
+
+**More installation and setup instructions can be found in the [README.md file of Chapter 1](../ch01/README.md)**.
+
+**(Even if you decide not to install Jupyter Notebook, note that you can also view the notebook files on GitHub by simply clicking on them: [`ch15_part1.ipynb`](ch15_part1.ipynb) and [`ch15_part2.ipynb`](ch15_part2.ipynb))**
+
+In addition to the code examples, I added a table of contents to each Jupyter notebook as well as section headers that are consistent with the content of the book. Also, I included the original images and figures in hope that these make it easier to navigate and work with the code interactively as you are reading the book.
+
+![](../ch02/images/jupyter-example-2.png)
+
+
+When I was creating these notebooks, I was hoping to make your reading (and coding) experience as convenient as possible! However, if you don't wish to use Jupyter Notebooks, I also converted these notebooks to regular Python script files (`.py` files) that can be viewed and edited in any plaintext editor.