Online or onsite, instructor-led live TensorFlow Lite training courses demonstrate through interactive hands-on practice how to use TensorFlow Lite to to deploy deep learning models on embedded devices.
TensorFlow Lite training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Liege onsite live TensorFlow Lite trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
TensorFlow Lite is also known as Google's TensorFlow Lite.
NobleProg -- Your Local Training Provider
Liège, Place des Guillemins
NobleProg Liège, 2 Place des Guillemins, Liège, Belgium, 4000
Luik is de hoofdstad van de provincie Luik en de economische hoofdstad van Wallonië. Door het aantal inwoners is het de eers...
Luik is de hoofdstad van de provincie Luik en de economische hoofdstad van Wallonië. Door het aantal inwoners is het de eerste Waalse agglomeratie, de derde agglomeratie van België na Brussel en Antwerpen en de vierde gemeente na Antwerpen, Gent en Charleroi. Luik is lange tijd een grote industriestad geweest, maar sinds de jaren zestig heeft het een lange neergang ondergaan, waarbij de fabrieken in verval raken. Luik is ook sterk afhankelijk van transport en multimodaliteit. Luik is een belangrijk economisch centrum met zijn autonome haven, de tweede binnenhaven in West-Europa en zijn luchthaven gespecialiseerd in vracht. In feite blijft de stad de economische hoofdstad van Wallonië.
This instructor-led, live training in Liege (online or onsite) is aimed at developers who wish to use TensorFlow Lite to deploy deep learning models on embedded devices.
By the end of this training, participants will be able to:
Install and configure Tensorflow Lite on an embedded device.
Understand the concepts and components underlying TensorFlow Lite.
Convert existing models to TensorFlow Lite format for execution on embedded devices.
Work within the limitations of small devices and TensorFlow Lite, while learning how to expand the scope of operations that can be run.
Deploy a deep learning model on an embedded device running Linux.
This instructor-led, live training in Liege (online or onsite) is aimed at developers who wish to use TensorFlow Lite to develop mobile applications with deep learning capabilities.
By the end of this training, participants will be able to:
Install and configure TensorFlow Lite.
Understand the principles behind TensorFlow, machine learning and deep learning.
Load TensorFlow Models onto an Android device.
Enable deep learning and machine learning functionality such as computer vision and natural language recognition in a mobile application.
This instructor-led, live training in Liege (online or onsite) is aimed at engineers who wish to write, load and run machine learning models on very small embedded devices.
By the end of this training, participants will be able to:
Install TensorFlow Lite.
Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
Add AI to hardware devices without relying on network connectivity.
This instructor-led, live training in (online or onsite) is aimed at developers who wish to use TensorFlow Lite to develop iOS mobile applications with deep learning capabilities.
By the end of this training, participants will be able to:
Install and configure TensorFlow Lite.
Understand the principles behind TensorFlow and machine learning on mobile devices.
Load TensorFlow Models onto an iOS device.
Run an iOS application capable of detecting and classifying an object captured through the device's camera.
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