How Flexible Are Neural Networks in Practice?

How Flexible Are Neural Networks in Practice?

Author丨New Intelligence Source丨New Intelligence Editor丨Extreme City Platform Extreme City Guide What factors affect the ability of neural networks to fit data?Are CNNs always worse than Transformers?What magical effects do ReLU and SGD have?Recently, a work involving LeCun has shown us how flexible neural networks are in practice. Artificial intelligence is flourishing today; large models dominate … Read more

Unveiling Convolutional Neural Networks (CNN): Empowering AI with Vision

Unveiling Convolutional Neural Networks (CNN): Empowering AI with Vision

In the field of artificial intelligence, Convolutional Neural Networks (CNN) have become essential tools for tasks such as image recognition and object detection. This article will guide you through the basic principles of CNNs, making it easy for you to get started with this powerful AI technology. 1. What is a Convolutional Neural Network? A … Read more

Beyond ReLU: The GELU Activation Function in BERT and GPT-2

Beyond ReLU: The GELU Activation Function in BERT and GPT-2

Reported by Machine Heart Machine Heart Editorial Team At least in the field of NLP, GELU has become the choice of many industry-leading models. As the “switch” that determines whether a neural network transmits information, the activation function is crucial for neural networks. However, is the ReLU commonly used today really the most efficient method? … Read more

A Simple Explanation of Neural Networks

A Simple Explanation of Neural Networks

Neural Networks are inspired by the operation of biological neural networks. Artificial neural networks are typically optimized through a learning method based on mathematical statistics, making them a practical application of statistical methods. Like other machine learning methods, neural networks have been used to solve a variety of problems, such as machine vision and speech … Read more