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

Implement Handwritten Digit Recognition with PyTorch

Implement Handwritten Digit Recognition with PyTorch

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

A Beginner’s Guide to PyTorch vs TensorFlow

A Beginner's Guide to PyTorch vs TensorFlow

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

Step-By-Step Guide to Building Your First Text Classification Model with PyTorch

Step-By-Step Guide to Building Your First Text Classification Model with PyTorch

Big Data Digest authorized reprint from Data Pai THU Author: Aravind Pai Translation: Wang Weili, Zhang Yihao In our programming journey, we always turn to the most advanced architectures. Thanks to deep learning frameworks such as PyTorch, Keras, and TensorFlow, implementing advanced architectures has become easier. These deep learning frameworks provide a simple way to … Read more

4-Minute PyTorch Tutorial: Linear Regression Step-by-Step

4-Minute PyTorch Tutorial: Linear Regression Step-by-Step

Produced by Big Data Digest Compiled by: Hong Yingfei, Ning Jing PyTorch, one of the deep learning framework libraries, is an open-source deep learning platform from Facebook that provides seamless transition from research prototypes to production deployment. This article aims to introduce the basics of PyTorch, helping beginners write initial Python PyTorch code in 4 … Read more

Training with PyTorch: More Than Just Training

Training with PyTorch: More Than Just Training

Click below on thecard to follow the “Beginner’s Guide to Python” public account Let’s discuss some techniques that help you conduct experiments during the training process. I will provide some theory, code snippets, and complete workflow examples. The main points include: Dataset Splitting Metrics Reproducibility Configuration, Logging, and Visualization Dataset Splitting I prefer a split … Read more

Best Practices for SageMaker Deployment

Best Practices for SageMaker Deployment

Click the above to follow us! Amazon’s SageMaker is indeed an interesting tool. Having worked at Amazon for several years, I can say I have a love-hate relationship with it. Today, let’s discuss how to effectively use SageMaker while avoiding common pitfalls. Choose the Right Instance Type to Save Money and Improve Efficiency SageMaker supports … Read more

Amazon SageMaker: The Pinnacle of Machine Learning Platforms

Amazon SageMaker: The Pinnacle of Machine Learning Platforms

1. Introduction Recently, I participated in the Amazon Web Services 【Cloud Exploration Lab】 event, where I built my first AIGC based on the Stable Diffusion model using Amazon SageMaker , which was very simple and quick. I initially thought it would be very complex and that I wouldn’t understand how to operate it, but in … Read more

China’s Generative AI: Industries, Policies, and Future Trends

China's Generative AI: Industries, Policies, and Future Trends

(1) Overview of Generative AI in China Generative AI is a type of artificial intelligence technology that can generate new, original content by learning patterns and structures from data. It utilizes deep learning models, particularly Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), to simulate human creative processes, generating various forms of content such as … Read more

Practical Guide to SageMaker Auto-Tuning by Ex-Amazon Expert

Practical Guide to SageMaker Auto-Tuning by Ex-Amazon Expert

Click the above to follow us! Hey data science folks, are you often troubled by parameter tuning? Today, I’m going to talk about the auto-tuning feature of Amazon SageMaker, which is definitely a time-saving and labor-saving helper. What is SageMaker Auto-Tuning? SageMaker auto-tuning, to put it simply, lets machines help you find the best parameters. … Read more