Practical Guide to Object Detection Using Vision Transformer

Practical Guide to Object Detection Using Vision Transformer

Click the card below to follow the WeChat public account “Python for Beginners” Object detection is a core task in computer vision that drives the development of technologies ranging from autonomous vehicles to real-time video surveillance. It involves detecting and locating objects within an image, and recent advances in deep learning have made this task … Read more

Illustrated Transformer: Principles of Attention Calculation

Illustrated Transformer: Principles of Attention Calculation

This is the fourth translation in the Illustrated Transformer series. The series is authored by Ketan Doshi and published on Medium. During the translation process, I modified some illustrations and optimized and supplemented some descriptions based on the code provided in Li Mu’s “Hands-On Deep Learning with Pytorch”. The original article link can be found … Read more

Hands-On Coding to Learn Transformer Principles

Hands-On Coding to Learn Transformer Principles

AliMei Guide Learn about Transformer, and come write one with the author. As an engineering student, when learning about Transformer, it always feels like understanding is not solid enough unless I write one myself. Knowledge gained from books is often superficial; true understanding requires practice, so take time to debug a few times! Note: No … Read more

How to Train Stable Diffusion Models

How to Train Stable Diffusion Models

Training a Stable Diffusion model is a complex and resource-intensive process that typically requires significant computational resources, such as GPUs or TPUs, and can take considerable time. The training process involves multiple steps, including environment setup, data preparation, model configuration, and training parameter adjustment. First, environment setup is the foundation for training a Stable Diffusion … Read more

Getting Started with Comet for ML Experiments

Getting Started with Comet for ML Experiments

Getting Started with Comet for ML Experiments Hello everyone, I am an experienced Python tutorial author. Today we will learn how to use Comet to better organize and manage machine learning experiments. Comet is a fantastic tool that helps you track experiment parameters, metrics, model weights, etc., making your machine learning projects well-organized. Let’s get … Read more

Getting Started with PyTorch: A Powerful Deep Learning Framework

Getting Started with PyTorch: A Powerful Deep Learning Framework

PyTorch is a powerful deep learning framework that has become quite popular! Whether you’re working on computer vision or natural language processing, it can be extremely useful. Today, let’s discuss some basics of PyTorch and see why it is so well-loved. Tensors: The Core of PyTorch 1. A tensor is the basic data structure in … Read more

Collection of PyTorch Tricks

Collection of PyTorch Tricks

Click the above “CVer” to choose to add “Star” or “Pin” Essential content delivered promptly Author: z.defying https://zhuanlan.zhihu.com/p/76459295 This article is authorized by the author, and reprinting is not allowed without permission Table of Contents: Specify GPU ID View details of each layer output of the model Gradient Clipping Expand the dimension of a single … Read more

Introducing PyTorch’s New Tool: MM for 3D Visualization of Matrix Multiplication and Transformer Attention

Introducing PyTorch's New Tool: MM for 3D Visualization of Matrix Multiplication and Transformer Attention

Click belowCard, follow the “CVer” public account AI/CV heavy content delivered instantly Click to enter—>【Computer Vision and Transformer】Group Chat Reprinted from: New Intelligence | Edited by:Peach 【Guide】The latest 3D visualization tool “mm” launched by the PyTorch team can simulate the matrix multiplication of the real world. The simulated world in the matrix is really here. … Read more

Collection of PyTorch Tricks

Collection of PyTorch Tricks

↑ ClickBlue Text Follow the Jishi platform Author丨z.defying@Zhihu (Authorized) Source丨https://zhuanlan.zhihu.com/p/76459295 Editor丨Jishi Platform Jishi Guide This article organizes 13 tips for using PyTorch, including specifying GPU IDs, gradient clipping, and expanding the dimensions of a single image, which can help workers complete tasks more efficiently. >>CV Developer 2021 New Year Exclusive Red Packet Cover has been … Read more

Deploying PyTorch Models Using C++

Deploying PyTorch Models Using C++

↑ ClickBlue Text Follow the Jishi Platform Author丨Civ@Zhihu (Authorized) Source丨https://www.zhihu.com/question/66532235/answer/2782357337 Editor丨Jishi Platform Jishi Guide This article uses the C++ inference framework ncnn as an example to introduce the general deployment process. The approach is similar for other C++ inference frameworks, with the only learning cost being the API of the inference framework itself. >> Join … Read more