Artificial Neural Networks

Development of Generative Adversarial Networks (GAN)

by
Development of Generative Adversarial Networks (GAN)

Think Tank Highlights #Global Defense Dynamics #US Military Dynamics #Russian Military Dynamics #Taiwan Affairs #WeChat Store Available #South Korea #Raytheon #Japan #Electronic Warfare #Northeast Asia Military Dynamics #Unmanned Development of Generative Adversarial Networks (GAN) Author: Military Eagle Think Tank Source: Military Eagle Dynamics Generative Adversarial Networks (GAN） is a deep learning generative model proposed by … Read more

Data Regression Prediction Using CNN with MATLAB Code

by
Data Regression Prediction Using CNN with MATLAB Code

1 Content Introduction The safe and stable operation of the power system is closely related to the development of the national economy and the safety of personal property. Accurate short-term load forecasting results are important for the power grid to guide the power system in formulating generation plans, coordinating unit operations, scheduling load distribution, and … Read more

How to Reduce Training Parameters in CNNs While Keeping Accuracy Above 99%

by
How to Reduce Training Parameters in CNNs While Keeping Accuracy Above 99%

Author: Sabrina Göllner Translator: Chen Zhiyan Proofreader: zrx This article is approximately 4800 words long and is recommended to be read in 10 minutes. This article presents research by institutions such as Niantic and UCL, which has achieved high-quality depth estimation and 3D reconstruction using a carefully designed and trained 2D network. Tags: CNN Training … Read more

Overview of Various Convolution Operations in CNNs

by
Overview of Various Convolution Operations in CNNs

Are you a new friend? Remember to click the blue text to follow me~ The official account has changed its push rules, remember to click “Looking” after reading~ Next time a new article will appear in your subscription list in a timely manner Author | Captain Note | The official account is responsible for pushing … Read more

CNN Overhaul: Performance Boost with Half the Compute Power

by
CNN Overhaul: Performance Boost with Half the Compute Power

This article is authorized for reprint by AI new media Quantum Bit (WeChat ID: qbitai), please contact the source for reprint. This article has a total of 2400 words and is recommended to read in 9 minutes. The traditional convolution operation is about to become a thing of the past. Facebook and the National University … Read more

How Flexible Are Neural Networks in Practice?

by
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

Top 10 Amazing Operations in Convolutional Neural Networks

by
Top 10 Amazing Operations in Convolutional Neural Networks

Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered first! Author: Justin Ho Editor: Xixiaoyao’s Cute Shop Source: https://zhuanlan.zhihu.com/p/28749411 Introduction The CNN has evolved from AlexNet in 2012 to various CNN models invented by scientists, each deeper, more accurate, and lighter than the last. Below, we will briefly review some revolutionary works in … Read more

Introduction to CNNs: A Beginner’s Guide to Machine Learning

by
Introduction to CNNs: A Beginner's Guide to Machine Learning

This article is authorized for reprint by AI new media Quantum Bit, please contact the source for reprinting. This article is about 2000 words, and it is recommended to read in 5 minutes. When it comes to image classification, challenges arise from large images, varying shapes and positions of objects, which poses difficulties for ordinary … Read more

Building CNN Networks Using Object-Oriented Programming | PyTorch Series (13)

by
Building CNN Networks Using Object-Oriented Programming | PyTorch Series (13)

Click on the above “Beginner Learning Visuals”, choose to add “Star” or “Top” Heavyweight content delivered first time From a high-level perspective of our deep learning project, we have prepared the data, and now we are ready to build our model. Prepare Data Build Model Train Model Analyze Model Results When we refer to the … Read more

Introduction to Quantitative Trading Using CNN Neural Networks

by
Introduction to Quantitative Trading Using CNN Neural Networks

Using machine learning for investment has always been a popular subject. In recent years, deep learning models have attracted a lot of attention, especially in the field of computer vision. Therefore, the paper introduced here provides a brand new approach by using the currently hottest computer vision neural network: Convolutional Neural Network (CNN) to predict … Read more