Understanding RNN (Recurrent Neural Networks) Basics

Understanding RNN (Recurrent Neural Networks) Basics

Click the “MLNLP” above and select “Star” for the public account Heavy content delivered first-hand Author | Yi Zhen Address | https://zhuanlan.zhihu.com/p/30844905 Column | Machine Learning Algorithms and Natural Language Processing Understanding RNN (Recurrent Neural Networks) Basics Basics of Neural Networks Neural networks can be considered as black boxes that can fit any function. As … Read more

Understanding RNN: Recurrent Neural Networks and Their PyTorch Implementation

Understanding RNN: Recurrent Neural Networks and Their PyTorch Implementation

Click on the above “Visual Learning for Beginners” to choose to add a Star or “Pin” Heavyweight content delivered first-hand From | Zhihu Author | Lucas Link | https://zhuanlan.zhihu.com/p/85995376 Understanding RNN: Recurrent Neural Networks and Their PyTorch Implementation Recurrent Neural Networks (RNN) are a type of neural network with short-term memory capabilities. Specifically, the network … Read more

The Relationship Between CNN and RNN

The Relationship Between CNN and RNN

Click the above“Beginner’s Guide to Vision” to choose to add Starred or “Top” Essential Knowledge Delivered First-Hand 1. Introduction to CNN CNN is a type of neural network that utilizes convolutional calculations. It can preserve the main features of a large image by reducing it to a smaller pixel image through convolutional calculations. This article … Read more

Recurrent Neural Networks (RNN) – Neural Networks with Memory Function

Recurrent Neural Networks (RNN) - Neural Networks with Memory Function

1 Algorithm History In 1986, Elman and others proposed the Recurrent Neural Network for processing sequential data. Just as Convolutional Neural Networks are specifically designed for processing two-dimensional data (such as images), Recurrent Neural Networks are specialized for handling sequential information. Recurrent networks can be extended to longer sequences, and most recurrent neural networks can … Read more

A Comprehensive Guide to Understanding RNN Family

A Comprehensive Guide to Understanding RNN Family

Follow our WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Author | Yu Wenyu Source | See the end of the article for “Read the original text” Organizer | NewBeeNLP WeChat public account BERT is great, but don’t forget our old friend RNN! Introduction CNN (Convolutional Neural Network) and RNN … Read more

The Evolution of Artificial Neural Networks: 80 Years of Breakthroughs

The Evolution of Artificial Neural Networks: 80 Years of Breakthroughs

5.17 The Intellectual The Intellectual Image Source: pixabay Written by | Sun Ruichen Edited by | Li Shanshan ● ● ● Today, large pre-trained language models like ChatGPT have become well-known names. However, the algorithmic core behind GPT, the artificial neural network algorithm, has experienced an 80-year roller coaster ride. During these 80 years, apart … Read more

Comprehensive Introduction to Convolutional Neural Networks

Comprehensive Introduction to Convolutional Neural Networks

Introduction: AI, CNN Algorithm, Hilbert, Feynman, 577 What is the hottest and most well-known core mathematical algorithm of AI today? The answer is the “Convolutional Neural Network Algorithm”. Mathematics is the foundation of all science and technology, and the Convolutional Neural Network algorithm is no exception. It is the basis and core of almost all … Read more

17 Common Algorithms in Machine Learning

17 Common Algorithms in Machine Learning

Source : Turing Artificial Intelligence According to the different types of data, modeling a problem can be done in various ways. In the field of machine learning or artificial intelligence, the learning method of the algorithm is usually the first consideration. There are several main learning methods in machine learning. Classifying algorithms by learning methods … Read more

Summary of Various Optimization Algorithms in Neural Network Training

Summary of Various Optimization Algorithms in Neural Network Training

Click on the above“Visual Learning for Beginners” to selectStar or Pin. Important content delivered at the first moment 1. Brief Overview of Various Optimization Algorithms Stochastic Gradient Update: For standard SGD, I won’t elaborate. The main point to note is that mini-batch gradient descent is commonly used in deep learning. Momentum Update: This method can … Read more

Ten Simple Explanations of Deep Learning Algorithms

Ten Simple Explanations of Deep Learning Algorithms

Hello everyone, I am Peter~ Today I am sharing an article about deep learning algorithms, mainly introducing 10 deep learning algorithms such as CNN, LSTM, RNN, GAN, MLP, etc. Introduction Deep learning is a subset of machine learning, based on artificial neural networks. The learning process is considered deep because the structure of artificial neural … Read more