Post Training Quantization
In the previous posts of the TFLite series we introduced TFLite and the process of creating a model In this post we will take a deeper dive into the TensorFlow
In this article we will learn how to create a TensorFlow Lite model using the TF Lite Model Maker Library We will fine tune a pre trained image classification model
The recent trend in developing larger and larger Deep Learning models for a slight increase in accuracy raises concerns about their computational efficiency and wide scaled usability We can not
The Intel OpenVINO Toolkit provides many great functionalities for Deep Learning model optimization inference and deployment Perhaps the most interesting and practical tool among them is the Deep Learning DL
Traditionally Deep Learning models are trained on high end GPUs But for inference Intel CPUs and edge devices like NVidia s Jetson and Intel Movidius VPUs are preferred Most of
Deep Learning models inferencing on video stream inputs in computer vision applications are mostly used for object detection image segmentation and image classification In many cases we fail to get
