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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
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

  • Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using...
Fractional Dynamics: Recent Advances
Fractional Dynamics: Recent Advances

This volume provides the latest developments in the field of fractional dynamics, which covers fractional (anomalous) transport phenomena, fractional statistical mechanics, fractional quantum mechanics and fractional quantum field theory. The contributors are selected based on their active and important contributions to their respective...

Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

  • Gain real-world contextualization using deep learning problems concerning research and application
  • Get to know the best practices to improve and optimize your machine...
Computational Chemistry: Reviews of Current Trends (Computational Chemistry: Reviews of Current Trends, Vol 6)
Computational Chemistry: Reviews of Current Trends (Computational Chemistry: Reviews of Current Trends, Vol 6)

There are strong indications that, in the 21st century, computational chemistry will be a prime research tool not only for the basic sciences but also for the life and materials sciences. Recent developments in nanotechnology allow us to detect a layer of single atoms. Researchers are able not only to image but also to manipulate molecules...

Finite Frames: Theory and Applications (Applied and Numerical Harmonic Analysis)
Finite Frames: Theory and Applications (Applied and Numerical Harmonic Analysis)

Hilbert space frames have long served as a valuable tool for signal and image processing due to their resilience to additive noise, quantization, and erasures, as well as their ability to capture valuable signal characteristics.  More recently, finite frame theory has grown into an important research topic in its own right, with a myriad...

Probability and Schrodinger's Mechanics
Probability and Schrodinger's Mechanics

The presentation and interpretation of (non-relativistic) quantum mechanics is a very well-worked area of study; there have to be very good reasons for adding to the literature on this subject.

My reasons are (obviously) that I am far from satisfied with much of the published work and find difficulties with some points, in
...

Quantum Computing and Communications: An Engineering Approach
Quantum Computing and Communications: An Engineering Approach
Quantum computers will revolutionize the way telecommunications networks function.

Quantum computing holds the promise of solving problems that would be intractable with conventional computers, by implementing principles from quantum physics in the development of computer hardware, software and communications equipment....

Computational Approaches to Biochemical Reactivity (Understanding Chemical Reactivity)
Computational Approaches to Biochemical Reactivity (Understanding Chemical Reactivity)
This book summarises recent results in the rapidly developing discipline of the computational aspects of biochemical reactivity. It presents a comprehensive and critical treatise on the subject, with numerous references covering practically all relevant and recent work. The chapters, written by eminent experts in the field, deal with quantum...
The Constants of Nature: From Alpha to Omega--the Numbers That Encode the Deepest Secrets of the Universe
The Constants of Nature: From Alpha to Omega--the Numbers That Encode the Deepest Secrets of the Universe
A major contribution to our understanding of the basic laws of the universe -- from the author of The Book of Nothing.

The constants of nature are the fundamental laws of physics that apply throughout the universe: gravity, velocity of light, electromagnetism and quantum mechanics. They encode the deepest secrets of the...

Classical Field Theory
Classical Field Theory
Classical field theory predicts how physical fields interact with matter, and is a logical precursor to quantum field theory. This introduction focuses purely on modern classical field theory, helping graduates and researchers build an understanding of classical field theory methods before embarking on future studies in quantum field theory. It...
Quantum Gravitation: The Feynman Path Integral Approach
Quantum Gravitation: The Feynman Path Integral Approach
The book covers the theory of Quantum Gravitation from the point of view of Feynman path integrals. These provide a manifestly covariant approach in which fundamental quantum aspects of the theory such as radiative corrections and the renormalization group can be systematically and consistently addressed. The path integral method is suitable for...
Coherent States in Quantum Physics
Coherent States in Quantum Physics

This self-contained introduction discusses the evolution of the notion of coherent states, from the early works of Schr?dinger to the most recent advances, including signal analysis. An integrated and modern approach to the utility of coherent states in many different branches of physics, it strikes a balance between mathematical and physical...

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