Compiling and Installing GPU-Supported TensorFlow 1.8.0 from Source on Ubuntu 18.04

Compiling and Installing GPU-Supported TensorFlow 1.8.0 from Source on Ubuntu 18.04

When I first used Linux, the first thing I wanted to do was install the GPU version of TensorFlow. I found a great guide, but even considering that, I spent over 40 hours on the installation. In this article, I want to save you time and share my experience. Below you will find an updated … Read more

Squat Detector Based on OpenCV and TensorFlow

Squat Detector Based on OpenCV and TensorFlow

Click on the above“Beginner Learning Vision” to select Star or “Pin” Important content delivered immediately This issue we will introduce how to use OpenCV and TensorFlow to implement squat detection. During the quarantine period, our physical activities are very limited, which is not good. When doing some home exercises, we must always maintain a high … Read more

Hands-On Project of Chatbot Based on TensorFlow Deep Learning

Chatbot Practice A chatbot is a computer program designed to simulate human conversation or chat, essentially enabling machines to understand human language through technologies like machine learning and artificial intelligence. It integrates methods from various disciplines and serves as a concentrated training camp in the field of artificial intelligence. In the coming decades, the way … Read more

The Holy Trinity of Topological Machine Learning: Gudhi, Scikit-Learn and Tensorflow

The Holy Trinity of Topological Machine Learning: Gudhi, Scikit-Learn and Tensorflow

Author: Mathieu Carrière Translator: Sun Taochun Proofreader: He Zhonghua This article is approximately 4500 words long and is recommended to be read in 10minutes. This article briefly introduces the power of Topological Data Analysis (TDA) in machine learning and demonstrates how to practice with three Python libraries: Gudhi, Scikit-Learn, and Tensorflow. Tags: Data Visualization Hi … Read more

Deep Learning Environment Setup Guide for RTX 3090: Pytorch, TensorFlow, Keras

Deep Learning Environment Setup Guide for RTX 3090: Pytorch, TensorFlow, Keras

Click on the above“Beginner Learning Vision” to add it to your favorites or “pin” Important content delivered to you first Author丨Yukyin@Zhihu Source丨https://zhuanlan.zhihu.com/p/279401802 This article is for academic sharing only. If there is any infringement, please contact us to delete the article. Introduction This article introduces the detailed process and code for setting up a deep … Read more

Three Common Model Aggregation Methods in Federated Learning (FL) with TensorFlow Examples

Three Common Model Aggregation Methods in Federated Learning (FL) with TensorFlow Examples

Source:DeepHub IMBA This article is approximately 1200 words, recommended reading for 7 minutes Federated Learning (FL) is an excellent ML method that enables multiple devices (such as Internet of Things (IoT) devices) or computers to collaborate in model training without sharing their data. The “clients” are the computers and devices used in FL, which can … Read more

Comparing Images for Similarity Using Siamese Networks, Keras, and TensorFlow

Comparing Images for Similarity Using Siamese Networks, Keras, and TensorFlow

Author: Adrian Rosebrock Translator: Zhang Yiran Proofreader: wwl This article is about3700 words, recommended reading time8 minutes. In this article, you will learn how to use siamese networks and the deep learning libraries Keras / TensorFlow to compare the similarity of two images (and whether they belong to the same or different classes). This blog … Read more

Real-Time Face Recognition with OpenCV and TensorFlow

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

Handwritten Digit Recognition and Application Based on TensorFlow Deep Learning

Handwritten Digit Recognition and Application Based on TensorFlow Deep Learning

Abstract: Handwritten digit recognition is an important component of artificial intelligence recognition systems. Due to individual differences in handwritten digits, the accuracy of existing recognition systems is relatively low. This paper completes the recognition and application of handwritten digits based on the TensorFlow deep learning framework. First, the TensorFlow deep learning framework is established, and … Read more

Source Code Analysis of AdamOptimizer in TensorFlow

Source Code Analysis of AdamOptimizer in TensorFlow

Click the above “MLNLP” to select “Star” public account Important content delivered at the first time From | Zhihu Author | Yao Shi Address | https://zhuanlan.zhihu.com/p/63500952 Column | The Path of Learning Non-Convex Optimization Editor | Machine Learning Algorithms and Natural Language Processing [TensorFlow] Source Code Analysis of AdamOptimizer The optimizers in TensorFlow basically inherit … Read more