Column ❈ Author: yonggege, author of Python Chinese community column GitHub Address: https://github.com/wzyonggege ❈ 0. char-rnn There are already many introductions about RNN, LSTM, and GRU. The char-rnn is a multi-layer RNN network. This time, we will use the Tensorflow version of sherjilozair/char-rnn-tensorflow to input a large number of ancient poems and let the machine … Read more
Follow the public account “ML_NLP” Set as “Starred”, heavy content delivered at the first time! Author: Tian Yu Su Zhihu: https://zhuanlan.zhihu.com/p/37978321 Editor: Wang Meng, City University of Macau (Deep Learning Go Go Go public account) This article is for academic sharing only. If there is any infringement, please contact the backend to delete the article. … Read more
Follow us on WeChat “ML_NLP” Set as “Starred”, delivering valuable content to you first! Produced by Machine Learning Algorithms and Natural Language Processing Original Column Author on WeChat @ Yi Zhen School | PhD Student at Harbin Institute of Technology SCIR 1. Why RNN Needs to Handle Variable Length Inputs Assuming we have an example … Read more
Since the concept of deep learning was proposed in 2006, almost 20 years have passed. As a revolution in the field of artificial intelligence, deep learning has given rise to many influential algorithms. So, what do you think are the top 10 deep learning algorithms? Here are my top 10 deep learning algorithms, which hold … Read more
Click on the above “Beginner Learning Vision”, select to add Star or “Top” Important content delivered immediately Introduction Artificial neural networks are typically optimized through a learning method based on mathematical statistics. This article provides a detailed introduction to the definition of neural networks and the relevant operational models. Overview of Structure 1. Introduction to … Read more
Click on the above “Mechanical and Electronic Engineering Technology” to follow us When processing images or other spatially structured data, Convolutional Neural Networks (CNN) are a commonly used deep learning model. The design inspiration of CNN comes from the visual processing method of the human brain. Unlike traditional fully connected neural networks, CNN extracts local … Read more
Source: Xiao Bai Learns Vision This article is about 4500 words long and suggests reading for more than 10 minutes. It illustrates the entire architecture of neural networks and tools and techniques for understanding specific modules. Baseline Model AlexNet is a groundbreaking architecture that has made convolutional networks (CNN) the primary machine learning algorithm for … Read more
Source: Algorithm Advancement This article is approximately 4800 words long and is suggested to be read in 8 minutes. This article introduces the functionality of neural networks. In the fields of machine learning and related areas, artificial neural networks are computational models inspired by biological neural networks: each neuron is connected to other neurons, and … Read more
1 Algorithm Introduction Convolutional Neural Networks (CNNs) are a class of feedforward neural networks that include convolutional computations and have a deep structure. They have emerged in recent years as an efficient recognition method that has gained widespread attention. The design inspiration for CNNs comes from the hierarchical processing capabilities of the animal visual system, … Read more
Nowadays, after becoming proficient in using dedicated frameworks and high-level libraries like Keras, TensorFlow, or PyTorch, we no longer need to frequently worry about the size of neural network models or remember formulas for activation functions and derivatives. With these libraries and frameworks, creating a neural network, even one with a complex architecture, often only … Read more