Transformers For Natural Language Processing: Build Innovative Deep Neural Network Architectures For NLP With Python, PyTorch, TensorFlow, BERT, RoBERTa, And More

Rothman, Denis

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
2021
384 Pages
4,819

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Recent Comments: Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more - Rothman, Denis (Hardcover)
Phoenix Perry
This is the sort of book Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more reads to feel worldly. Just like the spate of American pop fiction in the late eighties, this is overwhelmingly colonized literature, in that it pretends to reveal some aspect of the 'other' culture, but on closer inspection (aside from the occasional tidbit) it is a thoroughly western story, firmly ensconced in the western tradition.
Last updated 3 days ago
Zac Lewis
A short but w lovely book for fans of both authors, but also a lot of insight into freedom of speach, creativity and the importance of libraries.
Last updated 7 hours 42 mins ago
Travis Gordon
Because Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more is adored by most people who read it, I am forced to conclude that most people need to read more. A whole lot more. You should be embarrassed if you like this book. Seriously. The moment I became a book snob, I became so embarrassed to be seen reading it that I accused the guy sitting next to me on the subway of putting the book on my lap while I wasn't paying attention. "How dare you, sir! Have you no decency?" I exclaimed excitedly in my native language.
Last updated 52 mins ago
Howard Rodriquez
I know a lot of us were expecting Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more to be good, but I have to say, this book actually exceeded my expectations. I have a lump in my throat and I can't stop thinking about it. I usually spend time making detailed notes while reading a book but, at one point, I opened Notes on my computer just to type "this is so good"
Last updated 33 mins ago
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