TensorFlow Tutorial: Quick Start to Deep Learning in 5 Steps

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

Object Detection Tutorial in TensorFlow: Real-Time Detection

Object Detection Tutorial in TensorFlow: Real-Time Detection

Introduction Creating precise machine learning models capable of identifying and locating multiple objects in a single image remains a core challenge in computer vision. However, with recent advancements in deep learning, object detection applications are easier to develop than ever before. The TensorFlow Object Detection API is an open-source framework built on top of TensorFlow … Read more

Scikit-learn vs TensorFlow: Detailed Comparison

Scikit-learn vs TensorFlow: Detailed Comparison

What is Scikit-learn? Scikit-learn is an open-source Python library that includes various unsupervised and supervised learning techniques. It is built on technologies and libraries such as Matplotlib, Pandas, and NumPy, which help simplify coding tasks. Features of Scikit-learn include: Classification (including K-Nearest Neighbors) Preprocessing (including Min-Max normalization) Clustering (including K-Means++ and K-Means) Regression (including Logistic … Read more

How to Install TensorFlow in PyCharm on Windows 10

How to Install TensorFlow in PyCharm on Windows 10

Click the above“Mechanical and Electronic Engineering Technology” to follow us To install TensorFlow in PyCharm on Windows 10 (for Python 3.9 version), you can follow the steps below: Open PyCharm and create a new Python project or open an existing project. In the top menu bar of PyCharm, select “File” -> “Settings”. In the pop-up … Read more

Social Distance Detector Using TensorFlow, Python, and OpenCV

Social Distance Detector Using TensorFlow, Python, and OpenCV

Click on the “Beginner’s Visual Learning” above to select “Star” or “Pin“ Important content delivered promptly 0. Introduction During the pandemic, we searched for TensorFlow pre-trained models on GitHub and found a repository containing 25 object detection pre-trained models with their performance and speed metrics. Utilizing one of these models to build a social distance … Read more

China Telecom Implements AI Using TensorFlow

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

Advanced Tutorial for TensorFlow 2

Advanced Tutorial for TensorFlow 2

Remember when TensorFlow 2.0 was first released? A lot of developers were complaining: The official documentation was hard to find, bugs were not fixed and updated in a timely manner, and so on. Despite being online for so long, many developers still refuse to upgrade from 1.x or migrate from other frameworks. In fact, TensorFlow … Read more

Practical Guide to Graph Neural Networks in TensorFlow

Practical Guide to Graph Neural Networks in TensorFlow

Source: ZHUAN ZHI This article serves as a tutorial and is recommended for a 5-minute read. This tutorial's practical section will be based on TF-GNN, a library for handling graph-structured data in TensorFlow. Graphs are universal data structures that can represent information from various domains (social, biomedical, online transactions, etc.). Graph Neural Networks (GNNs) are … Read more

A Comprehensive Guide to TensorFlow 2.0

A Comprehensive Guide to TensorFlow 2.0

Source: Authorized by AI Technology Camp (ID: rgznai100) This article is approximately 3000 words long and is recommended to be read in 7 minutes. This article will introduce you to a comprehensive manual detailing TensorFlow 2.0. [ Guide ]After the official release of TensorFlow 2.0, it immediately received widespread attention and praise from the academic … Read more

Comprehensive Analysis of Spark, PMLS, and TensorFlow Distributed Machine Learning Platforms

Comprehensive Analysis of Spark, PMLS, and TensorFlow Distributed Machine Learning Platforms

This article investigates the design methods used in distributed machine learning platforms and proposes future research directions. I collaborated with my students Kuo Zhang and Salem Alqahtani to complete this in the fall of 2016, and it will be presented at the ICCCN’17 conference in Vancouver. Machine learning (especially deep learning) has now achieved transformative … Read more