Dive deep into the world of tokenization for Natural Language Processing. From basic whitespace splitting to advanced techniques like BPE and SentencePiece, learn how to implement and use various tokenizers with practical Python code examples.
Embedding vectors, representations, and latent space. What do these concepts have in common, and how do they differ?
Understanding DCGANs: Theory and Implementation.