Artificial Neural Networks

Essential Readings in Computer Vision: Tracking, Compression, Classification, and Recognition

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Essential Readings in Computer Vision: Tracking, Compression, Classification, and Recognition

New Intelligence Column Author: Zhang Hao (Nanjing University) This article is sourced from: New Intelligence 【Introduction】Deep learning has become one of the fastest growing and most exciting fields in machine learning. This article introduces key concepts in computer vision, highlighting the applications of deep learning in tasks such as network compression, fine-grained image classification, image … Read more

Introduction to Computer Vision: Basics of Deep Learning

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Introduction to Computer Vision: Basics of Deep Learning

Click on the above “Beginner Learning Vision”, select “Star” or “Top” Important content delivered first time 1. Introduction With the rapid development of artificial intelligence, especially deep learning, computer vision has become a particularly popular research direction in recent years. Here, we will launch a brand new series 【Computer Vision Insights】 to share some of … Read more

Computer Vision: Essential Image Data Technologies

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Computer Vision: Essential Image Data Technologies

Click on the above“Beginner’s Guide to Vision” and choose to add Star or “Pin” Valuable content delivered first-hand Introduction Since its inception, computer vision (Computer Vision) has rapidly and widely been applied in various fields, such as the face recognition technology we are familiar with and use daily based on smartphone cameras. In addition, it … Read more

Can Computers See? Understanding Computer Vision

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Can Computers See? Understanding Computer Vision

1. The Birth of Vision Life on Earth experienced little change for billions of years after its emergence. They lay “flat” on the ocean floor, unable to move independently or hunt for food. It wasn’t until about 500 million years ago that evolution suddenly exploded, and in just a few tens of millions of years, … Read more

Real-Time Face Recognition with OpenCV and TensorFlow

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Real-Time Face Recognition with OpenCV and TensorFlow

Click on the above“Beginner’s Guide to Vision” to selectStar or “Pin” Important content delivered promptly This article is adapted from | OpenCV Academy Introduction to FaceNet Network FaceNet is a face recognition model proposed by Google, and its biggest difference from other face recognition models is that it does not output an intermediate layer, but … Read more

Illustrated Guide to Deep Learning with TensorFlow: Introduction, Principles, and Advanced Practice

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Illustrated Guide to Deep Learning with TensorFlow: Introduction, Principles, and Advanced Practice

During the learning process, I collected relevant flowcharts for each chapter of the book “Deep Learning with TensorFlow: Introduction, Principles, and Advanced Practice.” This makes the knowledge points in the book more intuitive and easier for readers to learn and review. The flowcharts were compiled by a team I encountered before, known as the Code … Read more

Mathematical Methods for Advanced AI Using TensorFlow 2.0

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Mathematical Methods for Advanced AI Using TensorFlow 2.0

Source: ZHUAN ZHI This article introduces a book and suggests a 5-minute read. After reading this book, you will understand the mathematical foundations and concepts of deep learning, and be able to build new deep learning applications using the demonstrated prototypes. This book is built on the foundation of the first edition, updating chapters and … Read more

TensorFlow Tutorial: Quick Start to Deep Learning in 5 Steps

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TensorFlow Tutorial: Quick Start to Deep Learning in 5 Steps

Authorized by AI Technology Camp (ID: rgznai100) Author: Liu Ziying This article is about 1300 words, recommended reading 6 minutes. This article teaches you how to develop deep learning models using 5 steps + 4 basic elements + 9 basic layer structures. As a programmer, we can learn deep learning model development just like learning … Read more

China Telecom Implements AI Using TensorFlow

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China Telecom Implements AI Using TensorFlow

The Telecom Business Hall APP, as the entry-level application for China Telecom’s online services, has allowed its development team to have close contact with TensorFlow and artificial intelligence (AI) technology. AI is an area that the Telecom Business Hall APP had never explored before, and even the engineers involved in the project transitioned from Android … Read more

Differences and Connections Between Deep Learning Frameworks PyTorch and TensorFlow

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Differences and Connections Between Deep Learning Frameworks PyTorch and TensorFlow

Deep learning frameworks have played a crucial role in the rapid development in recent years, among which PyTorch and TensorFlow are the two most popular frameworks. They each have unique features and advantages, but there are also some similarities. This article will delve into PyTorch and TensorFlow, providing a detailed introduction from principles, code implementation, … Read more