[Arm DevSummit - Workshop] tinyML Development with TensorFlow Lite for microcontrollers and CMSIS NN скачать в хорошем качестве

[Arm DevSummit - Workshop] tinyML Development with TensorFlow Lite for microcontrollers and CMSIS NN

Perform data analytics at the source, w/ reduced latency & energy consumption. Intro. how Google's TFLu & its integration w/ CMSIS-NN maximize ML application performance & run a person detection sample with TFLu and CMSIS-NN on an Arduino Nano device. Deep Neural Networks are becoming increasingly popular in endpoint devices. Developers can perform data analytics on devices with reduced latency and energy consumption. Join Google and Arm in this workshop where we will introduce how Google’s TensorFlow Lite for microcontrollers (TFLu) and its integration with CMSIS-NN maximize ML application performance. Learn how to run a person detection sample with TFLu and CMSIS-NN on an Arduino Nano device. This technical workshop is brought to you by: Arm and Google Presenter(s): Fredrik Knutsson, ML Software Team Lead, Arm Peter Warden, Lead of the TensorFlow Mobile/Embedded Team, Google Technical Level: Beginner Target Audience : Software Developer Topics: #ArtificialIntelligence, #Microcontrollers, #MachineLearning, Open Source Session Type: Workshop Conference Track : AI in the Real World: From Development to Deployment Session Learning Objectives: ML on microcontrollers; Tensorflow Lite for microcontroller; CMSIS-NN Air Date: Tuesday, Oct 6 (9:30 AM - 11:00 AM PDT)