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TinyMLMachineLearningwithTensorFlowLiteonArduinoandMicrocontrollers
TinyMLMachineLearningwithTensorFlowLiteonArduinoandUltra-Low-PowerMicrocontrollersbyPeteWarden,DanielSitunayakeDeeplearningnetworksaregettingsmaller.Muchsmaller.TheGoogleAssistantteamcandetectwordswithamodeljust14kilobytesinsize—smallenoughtorunonamicrocontroller.Withthispracticalbookyou’llenterthefieldofTinyML,wheredeeplearningandembeddedsystemscombinetomakeastoundingthingspossiblewithtinydevices.PeteWardenandDanielSitunayakeexplainhowyoucantrainmodelssmallenoughtofitintoanyenvironment.Idealforsoftwareandhardwaredeveloperswhowanttobuildembeddedsystemsusingmachinelearning,thisguidewalksyouthroughcreatingaseriesofTinyMLprojects,step-by-step.Nomachinelearningormicrocontrollerexperienceisnecessary.*Buildaspeechrecognizer,acamerathatdetectspeople,andamagicwandthatrespondstogestures*WorkwithArduinoandultra-low-powermicrocontrollers
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