An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid
Artificial intelligence today is essentially a machine that can do typically any specific task before mimicry to human intelligence. Its emphasis on a machine that thinks as it learns and experience without the help of human interaction. However, this type of learning is highly time-consuming and co...
Saved in:
Main Author: | Mohd Zahid, Mohamad Harith |
---|---|
Format: | Student Project |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/44322/1/44322.pdf http://ir.uitm.edu.my/id/eprint/44322/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of seven segment display recognition using TensorFlow on Raspberry Pi
by: Gunawan, Teddy Surya, et al.
Published: (2022) -
Prototype development of speech depression prediction system using TensorFlow lite on edge computing
by: Gunawan, Teddy Surya, et al.
Published: (2023) -
Development of air quality measurement system using raspberry Pi
by: Mohd Pu'ad, Muhamad Farhan, et al.
Published: (2018) -
Machine learning for disease detection using raspberry pi with tensorflow in vegetable farms
by: Khoo, Wah Jian
Published: (2018) -
Intelligent Teacher Bot / Abinash Morli … [et al.]
by: Morli, Abinash, et al.
Published: (2021)