Product

Deep Learning

intelligence
from big data

Deep Learning Not the future, but "now" technology

Darwin

Darwin API

  • Common use cases such as extraction of text, images, audio, and video from various file types, their distributed representations, labeling, nearest neighbor search, learned NNs, etc., will be compiled into a simple API for users who want to use machine learning at low cost.
  • Provide the ability to search the above data with better accuracy and performance.
  • Sentence Extraction
    jp.co.interprism.darwin.text
    Image Extraction
    jp.co.interprism.darwin.image
    Image Extraction
    jp.co.interprism.darwin.media
    Morphological Analysis
    interprism.morphological
    Distributed Representation
    interprism.vectorization
  • Label Learning
    interprism.label_learning
    Label Prediction
    interprism.label_prediction
    Nearest Neighbor Search
    interprism.neighborhood_graph
    Learned NN
    interprism.wikipedia
    Search Engine
    interprism.search
  • OS
    Same as the guaranteed operation conditions for Java and Python
    Java
    8 (64bit) or 11 (64bit)
    Python
    3.8 (64bit)
    CPU
    Above 1GHz
    Memory
    4GB

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