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 Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
Take your NLP knowledge to the next level and become an AI language understanding expert by mastering the quantum leap of Transformer neural network models
Key Features
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Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using...
|  |  |  |  PyTorch Recipes: A Problem-Solution Approach
Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look ... |
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 |  |  |  |  Processor Design: System-On-Chip Computing for ASICs and FPGAsrocessor Design addresses the design of different types of embedded, firmware-programmable computation engines. Because the design and customization of embedded processors has become a mainstream task in the development of complex SoCs (Systems-on-Chip), ASIC and SoC designers must master the integration and development of processor... |
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