AI Fundamentals

 

  • Machine Learning
  • Deep Learning
  • Neural Networks
  • Natural Language Processing (NLP)
  • Computer Vision
  • Reinforcement Learning

Future Frame Prediction in 2D Movie MR Images Using PCA and RNN

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Future Frame Prediction in 2D Movie MR Images Using PCA and RNN

✅Author Bio: A Matlab simulation developer passionate about research, skilled in data processing, modeling simulation, program design, complete code acquisition, paper reproduction, and scientific simulation. 🍎Personal Homepage:Matlab Research Studio 🍊Personal Motto: Seek knowledge through inquiry; feel free to message me for help. 🔥 Content Introduction Abstract: Respiratory motion in medical imaging is a critical factor … Read more

Evolution of CNN Architecture: From AlexNet to ResNet

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Evolution of CNN Architecture: From AlexNet to ResNet

Evolution of CNN Architecture: From AlexNet to ResNet Hello everyone, I am Sister Liu. Today we will delve into the evolution of Convolutional Neural Networks (CNN), which is one of the most important technological developments in the field of computer vision. Background Knowledge Before the rise of deep learning, traditional image recognition methods relied on … Read more

The Best Performing CNN Architecture – DenseNet

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The Best Performing CNN Architecture - DenseNet

Densely Connected Convolutional Networks Comparison with ResNet Implementation code in various languages: Architecture diagram: If the image below is unclear, you can visit this link for the first Keras implementation mentioned above. Paper: This article is recommended by zdx3578. Let’s learn and discuss together: QQ group number 325921031; WeChat group, please leave a message in … Read more

R-CNN Series of Object Detection Networks

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R-CNN Series of Object Detection Networks

R-CNN series object detection networks are the first series of networks in the field of object detection using deep learning, serving as a typical Two-Stage object detection network. This series includes R-CNN, Fast R-CNN, and Faster R-CNN, and as their names suggest, each generation is faster than the previous one, primarily because the characteristic of … Read more

Implementing CNN From Scratch: Understanding the Mathematical Essence

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Implementing CNN From Scratch: Understanding the Mathematical Essence

Selected from arXiv Translated by Machine Heart Contributors: Huang Xiaotian, Lu Xue, Jiang Siyuan Recently, researchers from Nanyang Technological University published a paper describing the mathematical principles of convolutional networks. This paper explains the entire operation and propagation process of convolutional networks from a mathematical perspective. It is very helpful for understanding the mathematical essence … Read more

RNN Transformation Mechanism and Practical Applications

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RNN Transformation Mechanism and Practical Applications

Follow Hui Kuo Technology to learn more about technology knowledge Hello everyone, I am Liu Zenghui! Today we will continue the series of lectures on artificial intelligence neural networks, focusing on the transformation mechanism and practical applications of RNNs, exploring how they are widely used in various fields! Transformation Mechanism of RNN In the previous … Read more

Understanding the Mathematical Principles Behind RNNs

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Understanding the Mathematical Principles Behind RNNs

0Introduction Nowadays, discussions about machine learning, deep learning, and artificial neural networks are becoming more and more prevalent. However, programmers often just want to use these magical frameworks without wanting to know how they actually work behind the scenes. But if we could grasp these underlying principles, wouldn’t it be better for us to use … Read more

When RNN Meets Reinforcement Learning: Building General Models for Space

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When RNN Meets Reinforcement Learning: Building General Models for Space

You may be familiar with reinforcement learning, and you may also know about RNNs. What sparks can these two relatively complex concepts in the world of machine learning create together? Let me share a few thoughts. Before discussing RNNs, let’s first talk about reinforcement learning. Reinforcement learning is gaining increasing attention; its importance can be … Read more