It's quite strange to include LSTMs/GRUs/RNNs here. I can maybe see why a programmer should be familiar with generative AI, and how a neural network works at a

It's quite strange to include LSTMs/GRUs/RNNs here. I can maybe see why a programmer should be familiar with generative AI, and how a neural network works at a high level, but people not working in AI (that is, people who are at least touching a tensor library - making OpenAI API calls doesn't count) really have little reason to study RNNs, let alone GRUs. Looking at this again - the book description is "Delve into the realm of generative AI and large language models (LLMs) while exploring modern deep learning techniques, including LSTMs, GRUs, RNNs". This doesn't sound like 50 algorithms every programmer should know at all. A very strangely put together book. It's definitely not a generic book for the average programmer as the title seems to suggest (just way too much machine learning for that), but even we interpret it as a machine learning book, it's really odd to include content on the TLS handshake and dynamic programming.