Neural
Artificial Intelligence
A Easy Conceptual Overview of Neural Network and Deep Learning
Now we've gained some basic understanding of what a neural network is, the way it functions, and what hyperparameters are involved in tunning, we will bring up the concept of deep learning.So, what exactly...
Artificial Intelligence
My Journey with Machine Learning Algorithms Embarking on the Machine Learning Adventure What are Machine Learning Algorithms? Varieties of Machine Learning Algorithms 1. Supervised Learning: Guiding Computers with...
Hold on tight, because Huy is back with a bang, able to captivate you with the wonders of machine learning!I'm excited to accompany you on a rare voyage into the charming universe of machine...
Artificial Intelligence
Direction Improves Graph Learning Measuring Homophily in Directed Graphs A Toy Example Dir-GNN: Directed Graph Neural Network Experimental Results
Many interesting real-world graphs, encountered in modelling social, transportation, financial transactions, or academic citation networks, are directed. The direction of the perimeters often conveys crucial insights, otherwise lost if one considers only the connectivity...
Artificial Intelligence
Empowering Efficient BO Transfer with Neural Acquisition Process (NAP) General Objectives & Results: From Bayesian Optimisation to Meta-Bayesian Optimisation: Neural Acquisition Processes (NAP): Cool Properties:
Our primary objective is to reinforce the effectiveness of Bayesian Optimisation (BO) by leveraging meta-learning to transfer knowledge across different problem domains, thereby significantly improving sample efficiency.In pursuit of this goal, we introduce the...
Artificial Intelligence
Empowering Efficient BO Transfer with Neural Acquisition Process (NAP) General Objectives & Results: From Bayesian Optimisation to Meta-Bayesian Optimisation: Neural Acquisition Processes (NAP): Cool Properties:
Our primary objective is to boost the effectiveness of Bayesian Optimisation (BO) by leveraging meta-learning to transfer knowledge across different problem domains, thereby significantly improving sample efficiency.In pursuit of this goal, we introduce the...
Artificial Intelligence
Top 10 Machine Learning Algorithms Every Programmer Should Know #1. Linear Regression: The Oldie but Goodie #2. Logistic Regression: It’s Not All About Numbers #3. Decision Trees:...
Boosting Your Method to SuccessImagine running a relay race. Each runner improves upon the previous one’s performance, and together, they win the race. That’s how these algorithms work — every latest model compensates for...
Artificial Intelligence
Unraveling the Design Pattern of Physics-Informed Neural Networks: Part 05
2.1 Problem 🎯In the applying of Physics-Informed Neural Networks (PINNs), it comes as no surprise that the neural network hyperparameters, comparable to network depth, width, the selection of activation function, etc, all have significant...
Artificial Intelligence
Decoding the Enigma: Neural Networks and Their Intricate Connections to the Human Brain The Neural Network and Biological Intuition Should It Work Even when We Don’t...
If it really works, let it really works.Neural networks have captivated the world of artificial intelligence, fueling groundbreaking advancements in various fields. Drawing inspiration from the enigmatic workings of the human brain, these powerful...
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