update the examples README
# Examples
-This directory contains examples of deep neural network training applications that serve as
-requirement providers towards TensorHive. We are testing their performance and ease of use depending
-on computing resource management software used. This allows us to learn about various features of
-existing resource management systems and base our design decisions on the experiences with approaches
-such as native application execution, application-specific scripts, Docker and
-[Kubernetes](https://gist.github.com/PiotrowskiD/1e3f659a8ac7db1c2ca02ba0ae5fcfaf).
-
-The applications can be also useful for others as benchmarks. Our benchmark results, useful resources
-and more info about configuration and running examples can be found in corresponding folders.
-We plan to add TensorHive usage examples to the individual directories when distributed training deployment
-is supported by TensorHive
-
-
-
-
+This directory contains usage examples of the TensorHive task execution
+module for chosen DNN training scenarios:
+
+Directory | Description
+--- | ---
+TF_CONFIG | Using the default cluster configuration method in TensorFlowV2 - the TF_CONFIG environment variable.
+TensorFlow_ClusterSpec | Using the standard ClusterSpec parameters, often used in TensorFlowV1 implementations.
+PyTorch | Using standard parameters used in PyTorch implementations.
+deepspeech | Redirection to the DeepSpeech test application, kept for link maintenance.
+t2t_transformer | Redirection to the DeepSpeech test application, kept for link maintenance.
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