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Book Synopsis The Battle Of Optimus Prime by : John Sazaklis
Download or read book The Battle Of Optimus Prime written by John Sazaklis and published by Hachette UK. This book was released on 2017-04-06 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: An original adventured inspired by the hit TV series! When a maximum-security prison ship crashes on earth, Cyberton's most-wanted criminals escape. Now all that stands between Earth and the deadly Decepticons is a crack team of Autobot heroes - the Robots in Disguise! Optimus Prime has always been Bumblebee's mentor. But recently the two autobots can't seem to agree. Little do they know they're being tested by Liege Maximo - and he'll stop at nothing until Optimus and Bumblebee destroy each other! Will this be the end of the autobots?
Book Synopsis Revenge of the Fallen by : Simon Furman
Download or read book Revenge of the Fallen written by Simon Furman and published by ABDO. This book was released on 2010-01-01 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimus Prime and the Autobots continue to work with Sam, Mikaela, and their human allies to defeat the Decepticons, lead by an ancient evil returned to gain the power of the Allspark for itself.
Book Synopsis Variable Frequency Transformers for Large Scale Power Systems Interconnection by : Gesong Chen
Download or read book Variable Frequency Transformers for Large Scale Power Systems Interconnection written by Gesong Chen and published by John Wiley & Sons. This book was released on 2018-09-17 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an all-in-one resource on the development and application of variable frequency transformers to power systems and smart grids. It introduces the main technical issues of variable frequency transformers (VFT) systematically, including its basic construction, theory equations, and simulation models. Readers will then gain an in-depth discussion of its control system, operation performance, low frequency power oscillation, and technical economics, before proceeding to practical implementation and future developments. The related concepts of energy revolution, third generation grids, and power system interconnection are discussed as well. The first, comprehensive introduction to variable frequency transformers (VFT) An in-depth look at the construction of VFT, with simulations and applications Demonstrates how to assess the control system and overall system performance Analyses future developments, energy revolution and power system interconnections Variable Frequency Transformers for Large Scale Power Systems is a timely overview of the state of the art for VFT as it is increasingly adopted in smart grids. It is intended for engineers and researchers specializing in power system planning and operation, as well as advanced students and industry professionals of power engineering.
Book Synopsis Transformers for Natural Language Processing and Computer Vision by : Denis Rothman
Download or read book Transformers for Natural Language Processing and Computer Vision written by Denis Rothman and published by Packt Publishing Ltd. This book was released on 2024-02-29 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AI Key Features Compare and contrast 20+ models (including GPT-4, BERT, and Llama 2) and multiple platforms and libraries to find the right solution for your project Apply RAG with LLMs using customized texts and embeddings Mitigate LLM risks, such as hallucinations, using moderation models and knowledge bases Purchase of the print or Kindle book includes a free eBook in PDF format Book DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learn Breakdown and understand the architectures of the Original Transformer, BERT, GPT models, T5, PaLM, ViT, CLIP, and DALL-E Fine-tune BERT, GPT, and PaLM 2 models Learn about different tokenizers and the best practices for preprocessing language data Pretrain a RoBERTa model from scratch Implement retrieval augmented generation and rules bases to mitigate hallucinations Visualize transformer model activity for deeper insights using BertViz, LIME, and SHAP Go in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4V Who this book is for This book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field. Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.
Book Synopsis Information for the Amateur Designer of Transformers for 25- to 60-cycle Circuits by : Herbert Barton Brooks
Download or read book Information for the Amateur Designer of Transformers for 25- to 60-cycle Circuits written by Herbert Barton Brooks and published by . This book was released on 1935 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis DC Machines and Transformers (For GTU) by : K R, Sidhdhapura & D B, Raval
Download or read book DC Machines and Transformers (For GTU) written by K R, Sidhdhapura & D B, Raval and published by Vikas Publishing House. This book was released on with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has been written for the students of third semester of electrical engineering of Gujarat Technological University (GTU). It would also be useful for the students of third semester of power electronics branch. The book provides comprehensive knowledge of the DC machines and transformers and has an extended summary in the form of Key points to remember, and a large number of solved and unsolved problems. In the exercise, the questions have been presented in accordance with the GTU examination pattern. Key Features Strictly as per the GTU syllabus Over 125 descriptive questions Examinations oriented approach Includes questions of the last five years of GTU examinations
Book Synopsis Transformers for Machine Learning by : Uday Kamath
Download or read book Transformers for Machine Learning written by Uday Kamath and published by CRC Press. This book was released on 2022-05-24 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers. Key Features: A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. 60+ transformer architectures covered in a comprehensive manner. A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision. Practical tips and tricks for each architecture and how to use it in the real world. Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab. The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field.
Book Synopsis Transformers for Natural Language Processing by : Denis Rothman
Download or read book Transformers for Natural Language Processing written by Denis Rothman and published by Packt Publishing Ltd. This book was released on 2021-01-29 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. It includes even more use cases, such as casual language analysis and computer vision tasks, as well as an introduction to OpenAI's Codex. Key FeaturesBuild and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using concepts that outperform classical deep learning modelsGo through hands-on applications in Python using Google Colaboratory Notebooks with nothing to install on a local machineTest transformer models on advanced use casesBook Description The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers. The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face. The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification. By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets. What you will learnUse the latest pretrained transformer modelsGrasp the workings of the original Transformer, GPT-2, BERT, T5, and other transformer modelsCreate language understanding Python programs using concepts that outperform classical deep learning modelsUse a variety of NLP platforms, including Hugging Face, Trax, and AllenNLPApply Python, TensorFlow, and Keras programs to sentiment analysis, text summarization, speech recognition, machine translations, and moreMeasure the productivity of key transformers to define their scope, potential, and limits in productionWho this book is for Since the book does not teach basic programming, you must be familiar with neural networks, Python, PyTorch, and TensorFlow in order to learn their implementation with Transformers. Readers who can benefit the most from this book include experienced deep learning & NLP practitioners and data analysts & data scientists who want to process the increasing amounts of language-driven data.
Book Synopsis Inductors and Transformers for Power Electronics by : Vencislav Cekov Valchev
Download or read book Inductors and Transformers for Power Electronics written by Vencislav Cekov Valchev and published by CRC Press. This book was released on 2018-10-03 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although they are some of the main components in the design of power electronic converters, the design of inductors and transformers is often still a trial-and-error process due to a long working-in time for these components. Inductors and Transformers for Power Electronics takes the guesswork out of the design and testing of these systems and provides a broad overview of all aspects of design. Inductors and Transformers for Power Electronics uses classical methods and numerical tools such as the finite element method to provide an overview of the basics and technological aspects of design. The authors present a fast approximation method useful in the early design as well as a more detailed analysis. They address design aspects such as the magnetic core and winding, eddy currents, insulation, thermal design, parasitic effects, and measurements. The text contains suggestions for improving designs in specific cases, models of thermal behavior with various levels of complexity, and several loss and thermal measurement techniques. This book offers in a single reference a concise representation of the large body of literature on the subject and supplies tools that designers desperately need to improve the accuracy and performance of their designs by eliminating trial-and-error.
Book Synopsis Pretrained Transformers for Text Ranking by : Jimmy Lin
Download or read book Pretrained Transformers for Text Ranking written by Jimmy Lin and published by Springer Nature. This book was released on 2022-06-01 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query. Although the most common formulation of text ranking is search, instances of the task can also be found in many natural language processing (NLP) applications.This book provides an overview of text ranking with neural network architectures known as transformers, of which BERT (Bidirectional Encoder Representations from Transformers) is the best-known example. The combination of transformers and self-supervised pretraining has been responsible for a paradigm shift in NLP, information retrieval (IR), and beyond. This book provides a synthesis of existing work as a single point of entry for practitioners who wish to gain a better understanding of how to apply transformers to text ranking problems and researchers who wish to pursue work in this area. It covers a wide range of modern techniques, grouped into two high-level categories: transformer models that perform reranking in multi-stage architectures and dense retrieval techniques that perform ranking directly. Two themes pervade the book: techniques for handling long documents, beyond typical sentence-by-sentence processing in NLP, and techniques for addressing the tradeoff between effectiveness (i.e., result quality) and efficiency (e.g., query latency, model and index size). Although transformer architectures and pretraining techniques are recent innovations, many aspects of how they are applied to text ranking are relatively well understood and represent mature techniques. However, there remain many open research questions, and thus in addition to laying out the foundations of pretrained transformers for text ranking, this book also attempts to prognosticate where the field is heading.
Book Synopsis The Design of Transformers for Audio Frequency Amplifiers with Pre-assigned Characteristics by : Glenn Koehler
Download or read book The Design of Transformers for Audio Frequency Amplifiers with Pre-assigned Characteristics written by Glenn Koehler and published by . This book was released on 1928 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Design, Simulation and Applications of Inductors and Transformers for Si RF ICs by : Ali M. Niknejad
Download or read book Design, Simulation and Applications of Inductors and Transformers for Si RF ICs written by Ali M. Niknejad and published by Springer Science & Business Media. This book was released on 2005-12-15 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: The modern wireless communication industry has put great demands on circuit designers for smaller, cheaper transceivers in the gigahertz frequency range. One tool which has assisted designers in satisfying these requirements is the use of on-chip inductiveelements (inductors and transformers) in silicon (Si) radio-frequency (RF) integrated circuits (ICs). These elements allow greatly improved levels of performance in Si monolithic low-noise amplifiers, power amplifiers, up-conversion and down-conversion mixers and local oscillators. Inductors can be used to improve the intermodulation distortion performance and noise figure of small-signal amplifiers and mixers. In addition, the gain of amplifier stages can be enhanced and the realization of low-cost on-chip local oscillators with good phase noise characteristics is made feasible. In order to reap these benefits, it is essential that the IC designer be able to predict and optimize the characteristics of on-chip inductiveelements. Accurate knowledge of inductance values, quality factor (Q) and the influence of ad- cent elements (on-chip proximity effects) and substrate losses is essential. In this book the analysis, modeling and application of on-chip inductive elements is considered. Using analyses based on Maxwells equations, an accurate and efficient technique is developed to model these elements over a wide frequency range. Energy loss to the conductive substrate is modeled through several mechanisms, including electrically induced displacement and conductive c- rents and by magnetically induced eddy currents. These techniques have been compiled in a user-friendly software tool ASITIC (Analysis and Simulation of Inductors and Transformers for Integrated Circuits).
Book Synopsis Distributed Transformers for Broadband Monolithic Millimeter-Wave Integrated Power Amplifiers by : Pahl, Kai-Philipp Walter
Download or read book Distributed Transformers for Broadband Monolithic Millimeter-Wave Integrated Power Amplifiers written by Pahl, Kai-Philipp Walter and published by KIT Scientific Publishing. This book was released on 2015-09-18 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents methods and techniques to optimize and implement distributed magnetic transformers for their application in matching networks of Monolithic Millimeter-wave Integrated Circuits (MMICs). It describes strategies for the efficiency and bandwidth optimization of the transformers and demonstrates their potential based on an optimized transformer geometry as well as two MMIC power amplifiers.
Download or read book Energy Research Abstracts written by and published by . This book was released on 1979 with total page 1180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Electrical Design Fundamentals written by and published by Integrity Institute of Tech. This book was released on with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fundamentals of Electrical Design Course Module 4 by :
Download or read book Fundamentals of Electrical Design Course Module 4 written by and published by Integrity Institute of Tech. This book was released on with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
