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 Model Optimization. We will explore the different ...
TensorFlow Lite Model Maker: Create Models for On-Device Machine Learning
In this blog post, we will learn to create a TensorFlow Lite model using the TF Lite Model Maker Library. We will fine-tune a pre-trained image classification model on the custom dataset and ...
TensorFlow Lite: Model Optimization for
On-Device Machine Learning
The recent trend in the development of larger and larger Deep Learning models for a slight increase in accuracy raises the concern about their computational efficiency and wide scaled usability. We ...
Object detection with depth measurement using pre-trained models with OAK-D
This is the third blog post in the Oak series. If you haven't checked out the previous posts on OAK, check them below. Introduction to OAK-D and DepthAIStereo Vision and Depth Estimation using ...
AUTOSAR C++ compliant deep learning inference with TensorRT
If you are unfamiliar with safety compliance and are debating whether or not to read this blog post, let’s answer the most important question first. Why should you read this blog post?What can we ...
Top 10 Sources to Find Computer Vision and AI Models
The AI community generously shares code, model architectures, and even models trained on large datasets. We are standing on the shoulders of giants, which is why the industry is adopting AI so ...
