Click the blue text above to follow us! To learn GNN, you will definitely use the torch_geometric package. PyG (PyTorch Geometric) is a library built on PyTorch that allows easy writing and training of Graph Neural Networks (GNNs), suitable for various applications related to structured data. A GCNConv can be easily called with just one … Read more
Source: ZHUAN ZHI This article is approximately 1200 words long and is recommended for a 5-minute read. The tutorial on "Edge Artificial Intelligence" from the IT University of Copenhagen is worth noting! From June 17 to 21, 2024, one of the top events in the field of computer vision, the International Conference on Computer Vision … Read more
This article will use the Jetson Nano to create a very simple cat-dog classifier, utilizing PyTorch’s ImageFolder to create the dataset and DataLoader to load the dataset, and learning to train with a self-built CNN. Finally, we will extract test images for prediction. Jetson Nano Remote Setup Today we will operate on the Jetson Nano … Read more
As computer programming technology continues to evolve, people’s understanding of the Python language has deepened, and Python has gradually developed into a programming language widely favored by programmers. This section will introduce an overview of the Python language, its development history, and Python library files. 1 Overview and Development History of Python Language The Python … Read more
Source: DeepHub IMBA This article is approximately 5000 words long and is suggested to be read in 10 minutes. This article starts with a simple implementation of LoRA, delving into LoRA, its practical implementation, and benchmarking. LoRA stands for Low-Rank Adaptation, which provides an efficient and lightweight method for fine-tuning pre-existing language models. One of … Read more
The author states: Among various effective LLM fine-tuning methods, LoRA remains his preferred choice. LoRA (Low-Rank Adaptation) is a popular technique for fine-tuning LLMs (Large Language Models), initially proposed by researchers from Microsoft in the paper “LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS”. Unlike other techniques, LoRA does not adjust all parameters of the neural … Read more
Click on the "Xiaobai Learns Vision" above, and choose to add "Star" or "Top" Heavyweight content delivered to you in real-time 1. Task Description Implement object recognition using machine vision, with the Raspberry Pi as the main controller, issuing different commands to the lower machine based on different recognition results to control the operation of … Read more
Click on the above “Beginner Learning Visual“, choose to add “Star” or “Pinned“ Heavyweight content delivered promptly Getting started with deep learning, many people have experienced the bitter journey from beginner to abandonment, with countless individuals failing at the first hurdle: environment configuration issues. As the saying goes, if the environment is not set up … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering audiences such as NLP graduate students, university professors, and corporate researchers. The Community’s Vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from … Read more
Introduction: The Wonderful Collision of C++ and Neural Networks In today’s digital age, artificial intelligence is like a magical force, quietly yet profoundly integrated into every aspect of our lives. When you open an e-commerce app, the precisely recommended products seem to read your mind; during your drive, intelligent navigation plans the optimal route in … Read more