Author: mingo_敏 Editor: Deep Learning Natural Language Processing Link:https://blog.csdn.net/shanglianlm/article/details/85019768 Many of the loss functions in TensorFlow and PyTorch are similar; here we take PyTorch as an example. 19 Types of Loss Functions 1. L1 Loss L1Loss Calculates the absolute difference between output and target. torch.nn.L1Loss(reduction='mean') Parameters: reduction – three values: none: no reduction; mean: returns … Read more
Hello everyone! This is a channel focused on cutting-edge AI and agents~ Following the releases of Deep Research by Google, OpenAI, and Perplexity, the University of Oxford has published a paper titled “Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research” and has open-sourced the code. Today, let’s take a detailed look at their … Read more
The field of artificial intelligence has recently experienced explosive growth led by generative AI large models. On November 30, 2022, OpenAI launched an AI conversational chatbot, ChatGPT, whose outstanding natural language generation capabilities attracted widespread attention worldwide, surpassing 100 million users in just two months. This led to a wave of large models both domestically … Read more
Click the above“Beginner’s Visual Learning”, select to addstar or “pin” Important content delivered promptly Image source: Internet Author: Huang Yu, Chief Scientist at Singularity Auto Editor: Hoh Xil Source: https://zhuanlan.zhihu.com/p/78051407 Introduction: The extraction of edges and contours is a very tricky task, as details may be obscured by overly strong image lines. Texture itself is … Read more
Click the above “Beginner Learning Vision” and choose to add “Star” or “Top“ Important content delivered promptly Introduction Image processing is a widely used concept that utilizes information within images. Image processing algorithms take a long time to process data because images are large and contain a vast amount of information. Therefore, it is necessary … Read more
Click on the "Xiaobai Learns Vision" above, select to add "Star" or "Top" Heavyweight content, delivered first time Author: ANKIT SACHAN Compiler: ronghuaiyang Introduction This article analyzes the pros and cons of Canny and provides the process of using deep learning for edge detection in OpenCV. There is a code link at the end. In … Read more
The dream of creating machines that imitate human intelligence has existed for a long time. Although it mostly appeared in science fiction, in recent decades, we have gradually made progress in building intelligent machines that can perform certain tasks like humans. This field is known as artificial intelligence. The origins of artificial intelligence can perhaps … Read more
1. Research Background: With the rapid development of intelligent robotics technology, human-machine interaction (HMI) based on acoustic sensors plays a crucial role in facilitating natural and efficient communication for robots. However, accurately identifying and tracking omnidirectional sound sources, especially in noisy environments, remains a pressing challenge. 2. Article Overview: In response to the above issues, … Read more
Comparison of Mainstream Architecture Solutions: Three Mainstream Architectures The current mainstream AI chips can be mainly divided into three categories: GPU, FPGA, and ASIC. Both GPU and FPGA are relatively mature chip architectures in the early stage and belong to general-purpose chips. ASIC is a chip customized for specific AI scenarios. It has been confirmed … Read more
From Mystery to Shock: Understanding NPU Chips In today’s rapidly advancing technology, artificial intelligence (AI) has become the core force driving the transformation of the era. Behind AI technology, there lies a “super brain” quietly supporting it, which is the NPU chip. NPU, or Neural Processing Unit, is a hardware accelerator specifically designed for deep … Read more