Machine Learning Author: louwill Machine Learning Lab Although deep learning is currently dominant, Boosting algorithms represented by XGBoost, LightGBM, and CatBoost still have a wide range of applications. Excluding the unstructured data applications suitable for deep learning, such as images, text, speech, and video, Boosting algorithms remain the first choice for structured data with fewer … Read more
Today, let’s talk about OCR, which stands for Optical Character Recognition. This term may sound a bit technical, but it’s not far from our daily lives. Imagine when you need to extract text from images or screens at work; OCR acts like an invisible assistant, helping you complete this task without the need for tedious … Read more
When it comes to RPA (Robotic Process Automation), its history is not short. Early RPA was primarily used for automating fixed, rule-based processes, such as logging into systems at scheduled times, downloading files, filling out forms, and sending reports. These tasks share a common characteristic: they are repetitive, tedious, and completely procedural. Using RPA for … Read more
The application of AI Agents is reshaping the workflow and decision-making models of enterprises. Industry pioneers from Microsoft, China Mobile Online, Luma Technology, and 360 gathered to discuss how three cutting-edge AI Agent products and solutions from Laiye Technology—Digital Employee Development Assistant, Knowledge Management and Q&A Assistant, AI Document Review Assistant—become the three innovative tools … Read more
Click on the “AI有道” above to select the “Star” public account Heavyweight content delivered first-hand This article is adapted from DataWhale Training techniques are very important for deep learning. As a highly experimental science, the same network structure trained with different methods can yield significantly different results. Here, I summarize my experiences over the past … Read more
From | DataWhale Training techniques are very important for deep learning. As a highly experimental science, even the same network architecture trained with different methods can yield significantly different results. Here, I summarize my experiences from the past year and share them with everyone. I also welcome additions and corrections. Parameter Initialization Any of the … Read more
Click on the “Datawhalee” above to select the “Starred“ public account Get valuable content at the first time Training techniques are very important for deep learning. As a highly experimental science, using different training methods on the same network structure can yield significantly different results. Here, I summarize my experiences from the past year and … Read more
Editor: Amusi | Source: Zhihu, originally from: cver https://www.zhihu.com/question/25097993 This article is for academic sharing only. If there is infringement, the article will be deleted. What Are the Techniques for Tuning Parameters in Deep Learning? The effectiveness of deep learning largely depends on how well the parameters are tuned. So how can we quickly and … Read more
Hello everyone, I am Dong Ge! A few days ago, Tongyi officially launched theTongyi Wanshang 2.1 series, significantly enhancing its image generation and video generation capabilities, with great improvements in UI optimization, Chinese character generation, complex camera movements, generation stability, and clarity. The New Version of Tongyi Wanshang Has Greatly Improved Capabilities Using the recommended … Read more
Yesterday, OpenAI released what I believe is the most exciting product since ChatGPT – ChatGPT Operator. Since getting access to my account last night, I have been testing various tasks and quickly documenting some thoughts on this product in this article: Operator and CUA Model – The Dawn of Agentic AI EraIn the previous public … Read more