Deep Reconstruction Professor Zhang Yi, a doctoral supervisor from Sichuan University, once introduced the basic principles and classic methods of CT reconstruction, as well as the principles and current status of CT reconstruction. In this issue, he will take us to learn about his latest IEEE TMI paper on CT reconstruction using deep learning, which … Read more
Editor’s Note The real-time monitoring of tool wear during machining is of significant importance for reducing equipment downtime and lowering costs caused by tool wear. Traditional tool wear monitoring methods based on signal processing and shallow learning models require manual extraction of lengthy features, which cannot achieve intelligent monitoring. To overcome this inherent limitation, deep … Read more
Transformer is a model that utilizes the attention mechanism to improve the training speed of models. For more information about the attention mechanism, you can refer to this article (https://zhuanlan.zhihu.com/p/52119092). The transformer can be said to be a deep learning model that is entirely based on the self-attention mechanism, as it is suitable for parallel … Read more
Continuing from the previous article Deep Learning (1) – Overview, Distributed Representation, and Ideas 9. Common Models or Methods in Deep Learning 9.1 AutoEncoder The specific process is briefly described as follows: 1) Given unlabeled data, learn features using unsupervised learning: In our previous neural network, as shown in the first diagram, the samples we … Read more
I have read some papers and training data on Qwen2.5 Coder and summarized them. Paper link: https://arxiv.org/pdf/2409.12186 1. Introduction The Qwen2.5-Coder series is a major upgrade from its predecessor CodeQwen1.5, aimed at achieving top-notch code task performance across various model sizes. This series includes six models: Qwen2.5-Coder-0.5B Qwen2.5-Coder-1.5B Qwen2.5-Coder-3B Qwen2.5-Coder-7B Qwen2.5-Coder-14B Qwen2.5-Coder-32B The architecture of … Read more
Selected from Medium Author: Piotr Tempczyk Translated by Machine Heart Contributors: Chen Yunzhu, Liu Xiaokun There are many studies on visualization in the field of convolutional neural networks, but there are not enough similar tools for LSTM. Visualizing LSTM networks can yield interesting results; due to their time-related characteristics, we can explore the relationships between … Read more
Machine Heart Release Author: Feng Qinyuan Not long ago, the AV video face-swapping star DeepFake became popular. This article will guide you step by step on how to achieve face swapping. If you are hearing about DeepFake for the first time, be sure to click the video above to personally experience how Nicolas’s face occupies … Read more
Machine Heart Compilation Author: Sander Dieleman Editor: Panda W Diffusion models are very popular, and their descriptions vary widely. In this article, a DeepMind research scientist provides a comprehensive analysis of the topic “What is a diffusion model?” If you’ve tried one of the most popular AI painting tools, Stable Diffusion, then you’ve already experienced … Read more