↑↑↑ Follow for “Star Mark“Kaggle Competition Guide Kaggle Competition Guide Author: Fareise, excerpted from Yuan Yuan’s Algorithm Notes Using RNN for Long-Term Time Series Forecasting, Is It Better Than Transformer SOTA? This article introduced today comes from South China University of Technology, proposing an RNN-based long-term time series forecasting model that outperforms the SOTA Transformer … Read more
Starting the Journey of RNN, Commonly Known Four Structures of RNN One to One: This is the traditional application of neural networks, usually used for simple input to output tasks. For example, in image classification, the network receives an image as input and identifies the category of the object represented in the image. Specifically, suppose … Read more
This article introduces the ICML 2020 paper “Do RNN and LSTM have Long Memory?“. The authors of the paper are from Huawei Noah’s Ark Lab and the University of Hong Kong.. Author | Noah’s Ark Lab Editor | Cong Mo Paper link: https://arxiv.org/abs/2006.03860 1 Introduction To overcome the difficulties of Recurrent Neural Networks (RNNs) in … Read more
Author: David9 Address: http://nooverfit.com/ Named Entity Recognition (NER) is an important topic in semantic understanding. NER is like object detection in the field of natural language. Finding noun entities in document D is not enough; in many cases, we need to understand whether this noun represents a location, person, or organization, etc.: The above figure … Read more
The hands-on deep learning live course has completed the first three parts! In the past 4 months, Dr. Mu Li, a senior chief scientist at Amazon has explained the basics of deep learning, convolutional neural networks, and computer vision. Since the course started, over 10,000 people have participated in the live learning, and the course … Read more
RWKV Submitted by QbitAI | WeChat Official Account Not following the usual path of Transformers, the domestically modified RNN architecture RWKV has made new progress: Two new RWKV architectures have been proposed, namely Eagle (RWKV-5) and Finch (RWKV-6). These two sequence models are based on the RWKV-4 architecture and have been improved. The advancements in … Read more
Machine Heart Column This column is produced by Machine Heart SOTA! Model Resource Station, updated every Sunday on the Machine Heart public account. This column will review common tasks in natural language processing, computer vision, and other fields, and detail the classic models that have achieved SOTA on these tasks. Visit SOTA! Model Resource Station … Read more
MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and corporate researchers. The vision of the community is to promote communication between the academic and industrial circles of natural language processing and machine learning, as well … Read more
Machine Heart Report Contributor: Siyuan With the popularity of frameworks like TensorFlow and PyTorch, building neural networks often just involves calling a few API lines. Most developers have become unfamiliar with the underlying mechanisms, especially how to implement neural networks using pure NumPy. Previously, Machine Heart introduced how to implement a simple convolutional neural network … Read more
Machine Heart Compilation Author: Sander Dieleman Editor: Panda W Diffusion models are very popular, and their descriptions vary widely. In this article, a DeepMind research scientist provides a comprehensive analysis of the topic “What is a diffusion model?” If you’ve tried one of the most popular AI painting tools, Stable Diffusion, then you’ve already experienced … Read more