The Engineer’s Guide to Deep Learning: Understanding the Transformer Model

Hironobu Suzuki's 'The Engineer’s Guide To Deep Learning' is an introductory document for engineers to understand the Transformer model. It provides Python code examples, fundamentals of neural networks, RNN, NLP, and attention mechanisms, with a focus on practical, hands-on learning.

• Author Hironobu Suzuki is a software engineer and author.
• The guide includes working Python code examples.
• Originally developed for machine translation, Transformer now influences many fields.
• The document is recommended for modern engineers learning about AI.
• The first version of the document was released on 21st May 2024.