Machine Learning (ML) is a vibrant and powerful field of computer science that permeates almost all digital devices we interact with, whether it’s social media, mobile phones, cars, or even household appliances. Artificial Intelligence (AI) is rapidly moving from the “cloud” to the “edge,” entering increasingly smaller IoT devices. The machine learning processes implemented on … Read more
Learn how to deploy complex machine learning models on single-board computers, mobile phones, and microcontrollers. Main Features ● Comprehensive understanding of the core concepts of TinyML. ● Learn how to design your own TinyML applications from scratch. ● Explore cutting-edge models, hardware, and software platforms for developing TinyML. Description TinyML is an innovative technology that … Read more
Introduction This page will guide you on installing TensorFlow on a Raspberry Pi 4 running the 64-bit Bullseye operating system. TensorFlow is a large software library developed specifically for deep learning, which consumes a lot of resources. You can run TensorFlow on a Raspberry Pi 4, but do not expect miraculous performance. If the model … Read more
The Editor Says: Currently, researchers are using various deep learning frameworks. This article introduces six common deep learning frameworks and discusses the advantages of PyTorch compared to them. This article is excerpted from “Deep Learning Framework PyTorch: Introduction and Practice”. For more details, please click Read the Original. The Birth of PyTorch In January 2017, … Read more