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
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 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
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
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
↑ 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
↑ 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
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
Hello everyone! I’m Dog Brother. Today, we are going to explore a super interesting project together: implementing handwritten digit recognition using PyTorch! This project will not only help us understand the basics of deep learning but also allow us to build a neural network model from scratch. I will guide you step by step in … Read more
Compiled by Wen Geng | Produced by Quantum Bits | WeChat Official Account QbitAI A few days ago, Quantum Bits published an article titled “Guide to Fooling VC”. One of the suggestions was that when you pretend to be an AI expert, it’s best not to talk about the well-known TensorFlow. So what should you … Read more