£62.00

Deep Learning and Physics (Mathematical Physics Studies)

AI & Machine Learning

Price data last checked 152 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

This is the usual price. Wait for it to drop, or tell us your number.

£62 today · usual range £0–£0 · best ever £58

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 342 days • 342 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 342 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £60 (165 days, 48.2%)

Price range: £58 - £65

Price levels: 6 different prices over 342 days

Description

What is deep learning for those who study physics? Is it completely different from physics? Or is it similar? In recent years, machine learning, including deep learning, has begun to be used in various physics studies. Why is that? Is knowing physics useful in machine learning? Conversely, is knowing machine learning useful in physics? This book is devoted to answers of these questions. Starting with basic ideas of physics, neural networks are derived naturally. And you can learn the concepts of deep learning through the words of physics. In fact, the foundation of machine learning can be attributed to physical concepts. Hamiltonians that determine physical systems characterize various machine learning structures. Statistical physics given by Hamiltonians defines machine learning by neural networks. Furthermore, solving inverse problems in physics through machine learning and generalization essentially providesprogress and even revolutions in physics. For these reasons, in recent years interdisciplinary research in machine learning and physics has been expanding dramatically. This book is written for anyone who wants to learn, understand, and apply the relationship between deep learning/machine learning and physics. All that is needed to read this book are the basic concepts in physics: energy and Hamiltonians. The concepts of statistical mechanics and the bracket notation of quantum mechanics, which are explained in columns, are used to explain deep learning frameworks. We encourage you to explore this new active field of machine learning and physics, with this book as a map of the continent to be explored.

Product Specifications

Format: paperback
ASIN: 9813361107
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 22 February 2022
Listed Since: 26 January 2022

Barcode

No barcode data available

Deep Learning and Physics (Mathematical Physics Studies)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia

Deep Learning and Computational Physics

Machine Learning in Quantum Sciences

The Second Physicist: On the History of Theoretical Physics in Germany: 48 (Archimedes, 48)

Geometric Methods in Physics XXXVII: Workshop and Summer School, Białowieża, Poland, 2018 (Trends in Mathematics)

Deep Learning for Physical Scientists: Accelerating Research with Machine Learning

Theoretische Physik

Deep Learning For Physics Research

Computational Physics: Problem Solving with Python

Quantum Machine Learning: Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing (Quantum Science and Technology)

Mathematical Journey Through Differential Equations Of Physics, A

Quantum Mechanics: Inception or Conception? A Classical Preamble to Quantum Mechanics

The Logical Structure of Mathematical Physics

1000 Solved Problems in Modern Physics

Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics, 968)

Lagrangian and Hamiltonian Dynamics

Classical And Quantum Mechanics With Lie Algebras

OXFORD HANDBOOK OF PHILOSOPHY OF PHYSICS (Oxford Handbooks)

Theoretical Physics 2: Analytical Mechanics: No. 2

Mathematical Journey Through Differential Equations Of Physics, A

Quantum Theory and Statistical Thermodynamics: Principles and Worked Examples (Graduate Texts in Physics)

Feynman Lectures on Computation: Anniversary Edition (Frontiers in Physics)

Methods of Mathematical Physics, Third Edition (Cambridge Mathematical Library)

Classical Dynamics: A Modern Perspective