Deep Learning for Physical Scientists. Edward O. Pyzer-Knapp

133

      135  134

      136  135

      137  136

      138  137

      139  138

      140  139

      141  140

      142  141

      143  142

      144  143

      145  144

      146  145

      147  146

      148  147

      149  148

      150  149

      151  150

      152  151

      153  152

      154  153

      155  154

      156  155

      157  156

      158  157

      159  158

      160  159

      161  160

      162  161

      163  162

      164  163

      165  164

      166  165

      167  167

      168  168

      169  169

      170  170

      171  171

      172  172

      173  173

      174  174

      175  175

      176  176

      177  177

      178  178

      179  179

      180  180

      181  181

      182  182

      183  183

      184  184

      185  185

      186  186

      187  187

      188  188

      189  189

      190  190

      191 191

      192 192

      193 193

      194 194

      195 195

      196 196

      197  197

      Deep Learning for Physical Scientists

      Accelerating Research with Machine Learning

       Edward O. Pyzer‐Knapp

       IBM Research UK

       Data Centric Cognitive Systems

       Daresbury Laboratory

       Warrington

       UK

       Matthew Benatan

       IBM Research UK

       Data Centric Cognitive Systems

       Daresbury Laboratory

       Warrington

       UK

      This edition first published 2022

      © 2022 John Wiley & Sons Ltd

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

      The right of Edward O. Pyzer-Knapp and Matthew Benatan to be identified as the authors of this work has been asserted in accordance with law.

      Registered Offices John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA

      John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK

      Editorial Office The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK

      For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com.

      Wiley also publishes its books in a variety of electronic formats and by print-on-demand. Some content that appears in standard print versions of this book may not be available in other formats.

      Limit of Liability/Disclaimer of Warranty In view of ongoing research, equipment modifications, changes in governmental regulations, and the constant flow of information relating to the use of experimental reagents, equipment, and devices, the reader is urged to review and evaluate the information provided in the package insert or instructions for each chemical, piece of equipment, reagent, or device for, among other things, any changes in the instructions or indication of usage and for added warnings and precautions. While the publisher and authors have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information