Verbose Tethics

Topic

Artificial Intelligence

A collection of 11 issues

Research topics in ML, AI and Deep Learning

Geometric Deep Learning Euclidean Geometry Group Invariance Theorem Universal Approximation Player Perceptron, Rosenblatt perceptron Curse of Dimensionality > neocognitron LeNet-5 Graph Neural Network, Chemical Precursors, Weisfeiler-Lehman (WL) test DeepSets CNN > Symmetry translation, GNN > Symmetry Permutation CNNs are translation-equivariant; GNN layers are permutation-equivariant, with permutation-invariant graph readouts. https://arxiv.

How to prompt LLM?

Prompting Techniques Use any one to many according to your knowledge. Roleplay: "Act as a senior database architect. Explain..." "You are a financial advisor speaking to a beginner investor. Explain..." "You're a financial advisor. Explain [topic] to a first-time investor." Decomposition: "

Edge AI: Edge Computing and Intelligence

Edge AI is giving a device its own "brain" so it can think for itself, right where it is, instead of asking a giant supercomputer far away for every decision.

Weighted Least Squares - Parameter Estimation

A special case of Generalized Least Square, an extension of Ordinary Least Square used in a regression model when data points have inconsistent variance of errors

Maxout Activation Function

General purpose neuron activation function that outputs maximum value from a set of linear functions in output range (-∞ , ∞)

Softmax Activation Function

Softmax converts logits into a probability distribution for multi-class classification.

Word Embeddings: Theory and Analysis

To implement natural language processing tasks, we deal with various kinds of discrete types. The most common being words. Words originate from a finite set; vocabulary. Other examples are characters, part-of-speech tags, named entities, named entity types, parse features, items in a product catalog and more. Any input feature that

Curated List of Machine Learning Online Resources

During my time of learning machine learning, specially Deep Learning focused on Semantic Segmentation and Image Matting, I collected these useful bookmarks that I would like to share. I hope it helps you too. machine learning, deep learning bookmarks: github links, tutorials, how-to guides, deep learning free courses, image datasets,

Notes on Convolutional Neural Network

Preliminary knowledge of computer vision is good for readers. You may also like articles on Image Manipulation and Object Detection. We start with a simple analogy about what is an artificial neuron. It is a math function but a digital one. And it tries to function similar to our brain&

Beginner's Guide to Image Manipulation Terms

An image is * array of numbers * made up of a matrix of pixels * each pixel having an intensity between 0-255. A JPEG image * 3D matrix * with channels for red, green, and blue pixel intensities. For each pixel in the matrix, the intensity values across these three channels combine to create