Understanding why deep learning produces miscalibrated predictions
In the rapidly evolving field of NLP, deep learning played a pivotal role in enabling machines to process and generate language in ways that were once the exclusive domain of humans. The next section introduces the key concepts and milestones in deep learning that has significantly influenced NLP.
Introduction to deep learning in NLP
Deep learning, a subset of machine learning, relies on neural networks with many layers (hence “deep”) to analyze various data factors. In the context of NLP, deep learning has been a game-changer, enabling machines to understand and generate human language with unprecedented accuracy:
- Evolution of architectures: The journey began with simpler architectures such as feedforward neural networks and recurrent neural networks (RNNs). With its ability to remember past information, the latter was particularly influential in sequence-based tasks such as language translation...
