Sensors | Free Full-Text | Quantization and Deployment of Deep Neural Networks on Microcontrollers
Embedding Artificial Intelligence onto low-power devices is a challenging task that has been partly overcome with recent advances in machine learning and hardware design. Presently, deep neural networks can be deployed on embedded targets to perform different tasks such as speech recognition, object detection or Human Activity Recognition. However, there is still room for optimization of deep neural networks onto embedded devices. These optimizations mainly address power consumption, memory and ...
Ambiq Apollo Quantization Of Deep Neural Networks Deployment Of Quantized Neural Network Neural Network Neural Networks Human Activity Recognition
Source: mdpi.com