Woonkly uses Tensor Flow tool which was named this way because it works by the flow of tensors in the form of a computational graph. Tensors are basically multidimensional arrays.
A computer graph has a network of nodes, and each node performs an operation such as addition, multiplication, or evaluation of some multivariate equation. The nodes represent mathematical operations and the edges represent tensors. TensorFlow can be used to build any kind of deep learning algorithms like:
FeedForward Neural Network
Algorithms for natural language processing
There are various programming elements in TensorFlow such as constants, variables, placeholders, sessions, etc. Each one has its own functionalities and is used to build any Deep Learning model.
Tensoflow uses Python to provide a convenient front-end API for building applications with the framework, while running high-performance C ++ applications. Woonkly uses TensorFlow, that way it can "learn" and run deep "Neural Networks" to:
Classify handwritten texts
Do image recognition
Recurrent neural networks
Sequence-to-sequence models for machine translation
Natural language processing
Simulations based on PDE (partial differential equation).
You can test how the algorithm works here: