message: More clarifications to README
diff: PlaidML is an advanced and portable tensor compiler for enabling deep learning
  -on laptops, embedded devices, or other kinds of workstations where the available
  +on laptops, embedded devices, or other devices where the available
  computing hardware is not well supported or the available software stack contains
  unpalatable license restrictions.
  @@ -28,13 +28,6 @@ capabilities of specialized deep-learning hardware (especially GPUs,) and makes
  it both easier and faster to access or make use of subgraph-level optimizations
  that would otherwise be bounded by the compute limitations of the device.
  -The latest version of PlaidML includes initial support for **PlaidML**'s
  -``Stripe``. Tile was specifically created to be able to overcome the many
  -limitations of fussy, brittle and tightly-coupled GPU-based software architectures.
  -By bridging the gap between the universal mathematical descriptions of deep
  -learning operations, such as convolution, and the platform and chip-specific
  -operations that enable acceleration, PlaidML makes deep learning work everywhere.
  -
  As a component under [Keras], PlaidML can accelerate training workloads with
  customized or automatically-generated Tile code. It works especially well on
  GPUs, and it doesn't require use of CUDA/cuDNN on Nvidia* hardware, while
  