message: Fixed formatting on 2019 Roadmap for TensorFlow Lite
diff: @@ -14,64 +14,64 @@ roadmap and provide us feedback in the TF Lite discussion groups and forums.
  ## Usability
  -* More ops coverage
  +* **More ops coverage**
  * Prioritize many more ops based on user feedback
  -* Op versioning & signatures
  +* **Op versioning & signatures**
  * Op kernels will get version numbers
  * Op kernels will be identifiable by signature
  -* New Convertor
  +* **New Convertor**
  * Implementing a new TensorFlow Lite convertor that will better handle
  graph conversion (i.e. control flow, conditionals etc) and replace TOCO
  -* Continue to improve TF Select Ops
  +* **Continue to improve TF Select Ops**
  * Support more types of conversion utilizing TF Selects such as hash
  tables, strings etc.
  * Support smaller binary size when using select TF ops via op stripping
  -* LSTM / RNN support
  +* **LSTM / RNN support**
  * Add full support of conversion for LSTMs and RNNs
  -* Graph Visualization Tooling
  +* **Graph Visualization Tooling**
  * Provide enhanced graph visualization tooling
  -* Pre-and-post processing support
  +* **Pre-and-post processing support**
  * Add more support for pre-and-post processing of inference
  -* Control Flow & Training on-device
  +* **Control Flow & Training on-device**
  * Add support for control flow related ops
  * Add support for training on-device
  -* New APIs
  +* **New APIs**
  * New C API as core for language bindings and most clients
  * Objective-C API for iOS
  * SWIFT API for iOS
  * Updated Java API for Android
  * C# Unity language bindings
  -* Add more Models
  +* **Add more Models**
  * Add more models to the support section of the site
  ## Performance
  -* More hardware delegates
  +* **More hardware delegates**
  * Add support for more hardware delegates
  -* Support NN API
  +* **Support NN API**
  * Continually support and improve support for NN API
  -* Framework Extensibility
  +* **Framework Extensibility**
  * Enable simplistic overwriting of CPU kernels with customized optimized
  versions
  -* GPU Delegate
  +* **GPU Delegate**
  * Continue to extend the total support ops for OpenGL and Metal ops
  * Open-source
  -* Improve TFLite CPU performance
  +* **Improve TFLite CPU performance**
  * Optimizations for float and quantized models
  ## Optimization
  -* Model Optimization Toolkit
  +* **Model Optimization Toolkit**
  * Post training quantization + hybrid kernels
  * Post Training quantization + fixed-point kernels
  * Training with quantization
  -* More support for more techniques
  +* **More support for more techniques**
  * RNN Support
  * Sparsity/Pruning
  * Lower bit-width support
  ## Portability
  -* Microcontroller Support
  +* **Microcontroller Support**
  * Add support for a range of 8-bit, 16-bit and 32-bit MCU architecture use
  cases for Speech and Image Classification
  