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Deep Learning Library: accel-brain-base.

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Welcome to accel-brain-base’s documentation!¶

Contents:

  • Deep Learning Library: accel-brain-base.
    • Installation
    • Documentation
    • Problem Setting: Deep Learning after the era of “Democratization of Artificial Intelligence(AI)”.
    • Issue: Structural extension from Auto-Encoders and Encoder/Decoders to energy-based models and Generative models.
    • Issue: How unsupervised learning like Auto-Encoder, Energy-based Model, and Generative Model can function in classification problem?
    • Issue: Structural extension for Deep Reinforcement Learning.
    • Problem Re-setting: Generalisation, or a function approximation.
    • References
    • Author
    • Author URI
    • License
  • accelbrainbase package
    • Subpackages
    • Submodules
    • accelbrainbase.computable_loss module
    • accelbrainbase.controllable_model module
    • accelbrainbase.extractable_data module
    • accelbrainbase.iteratable_data module
    • accelbrainbase.noiseable_data module
    • accelbrainbase.observable_data module
    • accelbrainbase.regularizatable_data module
    • accelbrainbase.samplable_data module
    • Module contents
  • accelbrainbase
    • accelbrainbase package

Indices and tables¶

  • Index
  • Module Index
  • Search Page

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