anchor.diff:  * Ceph (tested with Fedora Ceph packages `10.2.4-2`, installed by `ceph-deploy-1.5.32-2`)
   
   ==== Preparing the data
  -You need to download at least test MNISt data sample and put it into `/tmp/mnist/data/t10k-images-idx3-ubyte` and unpack.
  +You need to download at least test MNIST data sample (`t10k-images-idx3-ubyte.gz`, you can download it http://yann.lecun.com/exdb/mnist/[here]), put it into `/tmp/mnist/data/` and unpack.
   If you store it in diffrent location, just change the path in `qt-sender/src/mnist/main.cpp`.
   
   ==== Training neural network
  
positive.code: For training NN and creating checkpoint file you can use script `img-classifier/src/main/python/nn2h.py`.
  Simply run the script, it will download required data automatically.
  Once the NN is trained, checkpoint file is store in `/tmp/my-model/nn2h.ckpt`.
  On the standard output should see success rate of NN.
  
  === Building the app
  You need to build following pieces:
  
negative.code: * Infinispan server converter in `hr-server-converter` by simple `mvn clean package`.
    Copy the resulting bits (`target/hr-server-converter-0.0.1-SNAPSHOT.jar`) into `$ISPN_HOME/standalone/deployments`.
  * TF classifier app in `img-classifier` again by simple `mvn clean package`
  * Build MNIST sender app in `qt-sender` by
  [source,bash]
  ----
  mkdir build && cd build
  /opt/qt/5.7/gcc_64/bin/qmake ../mnist-sender.pro
  make
  ----
  * Clone https://github.com/vjuranek/infinispan-cachestore-ceph[Infinispan Ceph Cachestore] and build it by `mvn package -Puberjar`.
    Copy the resulting bits (`target/infinispan-cachestore-ceph-1.0-SNAPSHOT-jar-with-dependencies.jar`) into `$ISPN_HOME/standalone/deployments`.
  
  === Configuring the app
  
  * Copy `conf/standalone.xml` into `$ISPN_HOME/standalone/configuration`.
  * In `standalone.xml` find element `<store class="org.infinispan.persistence.ceph.CephStore">` and setup correct IP addres of the Ceph monitor and credentials in properties of this element.
  
  === Running the app
  To avoid problems, start the pieces of the app in the following order:
  
  * Start Ceph data store.
  * Start Infinispan server.
  * Run TF classifier in `img-classifier` by `java -Djava.library.path=/opt/lib/tensorflow/r0.11 -jar target/tf-ispn-classifier-0.0.1-SNAPSHOT.jar`
  * Run NodeJs app
  * Run `mnist-sender` in `qt-sender/build`
  * Start the web browser and connect to `http://localhost:3000`
  