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. Onsite live TensorFlow Lite training can be carried out locally on customer premises in Central or in NobleProg corporate training centers in Central.
TensorFlow Lite is also known as Google's TensorFlow Lite.
Frasers Tower is a 38-storey Grade A office development with a three-storey cascading retail podium strategically located at the gateway to the dynamic Central Business District.
Only U Space
10 Anson Rd, #31-06 International Plaza , Singapore 079903, Singapore, 079903
International Plaza is a 50-storey office cum residential complex situated in Singapore’s CBD. The construction was part of a grand redevelopment plan for the central area of Singapore.
The closest MRT station is Downtown (DT17) on the Downtown Line. It is about a 2–3 minute walk from Asia Square Tower 1.
Take the Downtown Line to Downtown MRT (DT17).
Use Exit G (the building's official site lists Exit G).
Walk toward Asia Square Tower 1 / 8 Marina View.
Enter Tower 1 and take the lift to Level 42 or 43
Other convenient stations:
Shenton Way (TE19) — about 2–5 min walk.
Marina Bay (NS27/CE2/TE20) — about 4–6 min walk.
Raffles Place (NS26/EW14) — about 6 min walk.
By bus
There are several nearby bus stops. The closest are around Downtown MRT / Central Boulevard and are about a 4-minute walk away. Services include 97, 106, 133, 502 and 646 at Central Blvd – Downtown Stn Exit E.
Another nearby stop is One Raffles Quay, served by buses including 10, 57, 70, 75, 100, 107, 130, 131, 162, 167, 186 and 196.
This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level developers, data scientists, and AI practitioners who wish to leverage TensorFlow Lite for Edge AI applications.
By the end of this training, participants will be able to:
Understand the fundamentals of TensorFlow Lite and its role in Edge AI.
Develop and optimize AI models using TensorFlow Lite.
Deploy TensorFlow Lite models on various edge devices.
Utilize tools and techniques for model conversion and optimization.
Implement practical Edge AI applications using TensorFlow Lite.
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