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