Projekta Nr.ISO/IEC TR 17903:2024
Nosaukums<p class="MsoBodyText"><span lang="EN-GB">This document surveys machine learning (ML) computing devices, including the following:</span></p> <p class="ListContinue1" style="mso-list: l0 level1 lfo1;"><!-- [if !supportLists]--><span lang="EN-GB" style="mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;"><span style="mso-list: Ignore;">—<span style="font: 7.0pt 'Times New Roman';">     </span></span></span><!--[endif]--><span lang="EN-GB">ML computing device terminology and characteristics;</span></p> <p class="ListContinue1" style="mso-list: l0 level1 lfo1;"><!-- [if !supportLists]--><span lang="EN-GB" style="mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;"><span style="mso-list: Ignore;">—<span style="font: 7.0pt 'Times New Roman';">     </span></span></span><!--[endif]--><span lang="EN-GB">existing approaches to the setting and use of characteristics for optimizing ML computing device performance.</span></p> <p class="MsoBodyText"><span lang="EN-GB">The information provided in this document is relevant for organizations of all types and sizes.</span></p>
Reģistrācijas numurs (WIID)85078
Darbības sfēra<p class="MsoBodyText"><span lang="EN-GB">This document surveys machine learning (ML) computing devices, including the following:</span></p> <p class="ListContinue1" style="mso-list: l0 level1 lfo1;"><!-- [if !supportLists]--><span lang="EN-GB" style="mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;"><span style="mso-list: Ignore;">—<span style="font: 7.0pt 'Times New Roman';">     </span></span></span><!--[endif]--><span lang="EN-GB">ML computing device terminology and characteristics;</span></p> <p class="ListContinue1" style="mso-list: l0 level1 lfo1;"><!-- [if !supportLists]--><span lang="EN-GB" style="mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;"><span style="mso-list: Ignore;">—<span style="font: 7.0pt 'Times New Roman';">     </span></span></span><!--[endif]--><span lang="EN-GB">existing approaches to the setting and use of characteristics for optimizing ML computing device performance.</span></p> <p class="MsoBodyText"><span lang="EN-GB">The information provided in this document is relevant for organizations of all types and sizes.</span></p>
StatussStandarts spēkā
ICS grupa35.020