First, you need to install Python and find a user-friendly compiler, like RStudio. Next, you need to find the data. The original author has placed the data on Kaggle (https://www.kaggle.com/datasets/jessicali9530/lfw-dataset/code), but I have already downloaded it. Just reply with “Face Recognition” to get the complete data. Be sure to set the reading path to access … Read more
Introduction to CNN (Convolutional Neural Network) A convolutional neural network is a deep learning algorithm specifically designed for processing images and videos. It takes images as input, extracts and learns features from the images, and classifies them based on the learned features. The inspiration for this algorithm comes from a part of the human brain, … Read more
MLNLP ( Machine Learning Algorithms and Natural Language Processing ) is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and industry researchers.The community’s vision is to promote communication between the academic and industrial circles of natural language processing and machine learning, especially for beginners. This … Read more
Artificial Intelligence Industry News The “2021 China Computer Vision Talent Research Report” is produced by Jishiang Technology and Jishi Platform, and is divided into five chapters. The first chapter presents the basic profile of computer vision talent in China; the second chapter covers the supply and demand situation of computer vision talent in the market; … Read more
Programmers transitioning to AI are paying attention to this account👇👇👇 Unet++ Network Dense Connection Unet++ inherits the structure of Unet while also drawing on the dense connection method of DenseNet (various branches in Figure 1). The author connects the layers through dense connections, just like DenseNet, where each module interacts with each other, allowing every … Read more
For academic sharing only, does not represent the stance of this public account. Contact for removal if infringing.Reprinted from:Author丨Yukyin@ZhihuSource丨https://zhuanlan.zhihu.com/p/279401802Editor丨Extreme City Platform I recently got a 3090 and found that the various environment configurations written online are quite chaotic and slow. So I tested the fastest 3090 configuration environment myself, feel free to add more! Basic … Read more
Source: DeepHub IMBA This article is approximately 3600 words long, and it is recommended to read it in 7 minutes. This article will systematically elaborate on the technical details of the SAC algorithm. Deep reinforcement learning is one of the most challenging research directions in the field of artificial intelligence, with its design concept originating … Read more
Follow the public account “ML_NLP“ and set it as “Starred“, to receive heavy content promptly! Reprinted from | PaperWeekly©PaperWeekly Original · Author | SherlockSchool | Suzhou University of Science and Technology undergraduateResearch Direction | Natural Language Processing Word Embedding The Transformer is essentially an Encoder. Taking the translation task as an example, the original dataset … Read more
Follow the official account “ML_NLP“ and set it as a “Starred“, delivering heavy content to you at the first time! Author丨Gemfield@@ZhihuSource丨https://zhuanlan.zhihu.com/p/61765561、https://zhuanlan.zhihu.com/p/65822256Editor丨Jishi PlatformThis article is for academic sharing only, and copyright belongs to the author. If there is any infringement, please contact the backend for deletion.PyTorch Dynamic Graph (Part 1) Background The dynamic graph framework of … Read more
Why Use Multi-GPU Parallel Training In simple terms, there are two reasons: the first is that a model cannot fit on a single GPU, but can run completely on two or more GPUs (like the early AlexNet). The second is that parallel computation across multiple GPUs can speed up training. To become a “master alchemist”, … Read more