I had the same issue, and I just caught up over the weekend. Three books I can recommend to get up to speed:
- NumPy basics pdf - first 2-3 chapters
- Deep Learning with PyTorch by Voight Godoy [2] - first 2-3 chapters if you had experience with neural networks, or the whole of it if you didn't.
With the above, you will get the basics to understand this book about transformers, and the architecture of the models, and everything else, from this book:
reminds me of julia (the language): wanted to give it a try recently, until I read in their documentation: "In Julia, indexing of arrays, strings, etc. is 1-based not 0-based"… which made me wonder for a moment how many off-by-one errors may be caused by mismatches between different programming languages.
- NumPy basics pdf - first 2-3 chapters - Deep Learning with PyTorch by Voight Godoy [2] - first 2-3 chapters if you had experience with neural networks, or the whole of it if you didn't.
With the above, you will get the basics to understand this book about transformers, and the architecture of the models, and everything else, from this book:
- Natural Language Processing with Transformers: Building Language Applications with Hugging Face ( https://www.amazon.com/Natural-Language-Processing-Transform... ).
I took a weekend to go through the books in this order, and now I finally understand what people mean with all that jargon :)
1 - https://numpy.org/doc/1.18/numpy-user.pdf - 2 - https://www.amazon.com/Deep-Learning-PyTorch-Step-Step/dp/B0...