Step-By-Step Guide to Using Keras for CNN CIFAR-10 Recognition

Step-By-Step Guide to Using Keras for CNN CIFAR-10 Recognition

Author: Chen Yang Editor: Huang Junjia Introduction Hi everyone, I am the pirate captain from Ocean University of China. Today, I am starting a new series. During this time, I have been helping Xuan Jie run experimental codes and conducted many comparative experiments. I found that the implementation of Keras is very good in terms … Read more

Illustrated Overview of 10 Major CNN Architectures

Illustrated Overview of 10 Major CNN Architectures

Click on the above “AI Youdao“, select “Star” public account Heavyweight content delivered first time Author | Raimi Karim Translator | Major Editor | Zhao Xue Produced by | AI Technology Camp (ID: rgznai100) Introduction: In recent years, many Convolutional Neural Networks (CNN) have come into the spotlight, and as their depths become increasingly profound, … Read more

10 Major CNN Architectures Explained Clearly

10 Major CNN Architectures Explained Clearly

Click Machine Learning Algorithms and Python Learning ,Select Star Don’t miss out on the wonderful content Author | Raimi Karim, Produced by | AI Technology Camp (ID: rgznai100) This article carefully selects 10 detailed diagrams of CNN architectures for discussion. Curated by the author. These diagrams showcase the essence of the entire model without the … Read more

How to Implement Image Semantic Segmentation Using CRF-RNN

How to Implement Image Semantic Segmentation Using CRF-RNN

Selected from GitHub Author: Shuai Zheng et al. Translated by: Machine Heart Contributors: Jiang Siyuan This GitHub project implements image semantic segmentation by combining CNN and CRF-RNN models. Readers can follow this project to implement the process using Keras/Tensorflow. Demo Address: http://crfasrnn.torr.vision Project Address: https://github.com/sadeepj/crfasrnn_keras This GitHub project contains methods to implement “CRF-RNN” image semantic … Read more

Introduction to RNN and ODE: Understanding RNNs

Introduction to RNN and ODE: Understanding RNNs

Author: Su Jianlin Affiliation: Guangzhou Flame Information Technology Co., Ltd. Research Direction: NLP, Neural Networks Personal Homepage: kexue.fm I had originally decided to stop working with RNNs as they actually correspond to numerical methods for ODEs (Ordinary Differential Equations). This realization provided me with insights into something I have always wanted to do—using deep learning … Read more

Guide to Fooling Neural Networks: How to Trick Deep Learning Models

Guide to Fooling Neural Networks: How to Trick Deep Learning Models

This is a work by Big Data Digest, please refer to the end of the article for reproduction requirements. Original Author | Adam Geitgey Translation | Wu Shuang, Da Li, Da Jieqiong, Aileen To know oneself and one’s enemy, whether you want to become a hacker (which is not recommended!) or prevent future hacking intrusions, … Read more

Photonics DNN: Image Recognition Under 1 Nanosecond

Photonics DNN: Image Recognition Under 1 Nanosecond

Alex from Aofeisi Quantum Position | WeChat QbitAI What is faster than deep neural networks? Perhaps photonic DNN can answer this question. Currently, a photonic neural network (photonic deep neural network, PDNN) developed by researchers in the United States allows image recognition in just 1 nanosecond. What does 1 nanosecond mean? It equals 10-9 seconds, … Read more