Machine Learning - Neural Networks
Tensor Flow - Machine learning, ML tools that we use at Woonkly for data processing in the social network
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:
    CNN
    RNN
    DBN
    FeedForward Neural Network
    Algorithms for natural language processing
    Others
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
    Embedded words
    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:
Last modified 7mo ago
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