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
Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using...
Electric Power Transformer Engineering, Second Edition
It is appropriate that I first acknowledge my appreciation to Professor Leo Grigsby for inviting me to
prepare the chapter on power transformers for the first edition (2001) of his now very popular Electric
Power Engineering Handbook. From this evolved the recognition that two chapters from the 2001
Handbook, those for (1) substations...
Electric Power Transformer Engineering (The Electric Power Engineering Series, 9)
Transformer engineering is one of the earliest sciences within the field of electric power engineering, and power is the earliest discipline within the field of electrical engineering. To some, this means that transformer technology is a fully mature and staid industry, with little opportunity for innovation or ingenuity by those practicing...
tinyAVR Microcontroller Projects for the Evil Genius
CREATE FIENDISHLY FUN tinyAVR MICROCONTROLLER PROJECTS
This wickedly inventive guide shows you how to conceptualize, build, and program 34 tinyAVR microcontroller devices that you can use for either entertainment or practical purposes. After covering the development process, tools, and power supply sources, tinyAVR...
Mule in Action
Mule in Action, Second Edition is a totally-revised guide covering Mule 3 fundamentals and best practices. It starts with a quick ESB overview and then dives into rich examples covering core concepts like sending, receiving, routing, and transforming data.
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