Discover acoustic models in speech recognition systems, crucial components for mapping audio signals to linguistic units in speech-to-text applications.
Learn about activation functions in neural networks, non-linear transformations that enable complex pattern recognition and introduce non-linearity in deep learning models.
Explore AI alignment, the challenge of ensuring that artificial intelligence systems behave in ways that are beneficial to humanity and aligned with human values.
Understand AdaGrad, an optimization algorithm for gradient-based learning that adapts the learning rate to the parameters, improving convergence in neural networks.
Explore AI emotion recognition technology that interprets human emotions from facial expressions, voice, and text, advancing human-computer interaction.