LLMs | Neural Language Models: RNNs | Lec 5.1

tl;dr: This lecture provides an overview of language modeling using neural network variants like CNNs and RNNs, focusing on the essential training algorithm, backpropagation through time, crucial for anyone looking to deepen their knowledge in neural language models.

📚 Suggested Readings:

Step into the world of Neural Language Models focusing on Recurrent Neural Networks (RNNs) and their variants like CNNs in this lecture. Discover the dynamics of language modeling using different neural network architectures and gain a thorough understanding of the training processes involved, particularly backpropagation through time. This session is designed for learners interested in the practical applications and theoretical underpinnings of neural networks in language modeling.