Imagine trying to teach a computer to recognize a cat in a picture. You could try to program specific rules – it has whiskers, pointy ears, a tail, etc. But what about a cat curled up in a ball? Or a blurry photo? Rule-based systems struggle with such variations. Artificial Neural Networks (ANNs) offer a Read More …
Tag: tmack
LSTM – Long Short-Term Memory
Long Short-Term Memory (LSTM) networks are a specialized type of recurrent neural network (RNN) designed to address the limitations of traditional RNNs in processing sequential data. LSTMs have become a cornerstone in the field of artificial intelligence (AI), particularly in applications involving time series prediction, natural language processing, and speech recognition. Understanding LSTMs and their Read More …
Computer Vision: Enabling AI to See and Understand the World
Computer vision, at its core, is a field of Artificial Intelligence (AI) that empowers computers to “see” and interpret the visual world, much like humans do with their eyes and brains. It’s about enabling machines to extract meaningful information from digital images, videos, and other visual inputs, and then use that information to understand, classify, Read More …
GAN – Generative Adversarial Network
Imagine you have two artists: a forger and an art critic. The forger tries to create fake paintings that look just like the real ones, while the critic tries to distinguish the fakes from the authentic pieces. As they both get better at their jobs, the forger becomes more skilled at creating convincing fakes, and Read More …
Hacker TV – Hacker Course Buffer Overflow
A first step to become a true Hacker.
RNN – Recurrent Neural Networks
In the realm of Artificial Intelligence, many tasks involve understanding data that unfolds over time or has a sequential structure. Think of comprehending spoken language, predicting stock prices, or even generating music. Traditional neural networks, designed to process independent inputs, often fall short in these scenarios. This is where Recurrent Neural Networks (RNNs) come into Read More …
CNN – Convolutional Neural Networks
Convolutional Neural Networks (CNNs) were inspired by the way the human visual cortex works, CNNs are a specialized type of neural network particularly adept at analyzing and understanding images. They are the engine behind many impressive AI applications, from recognizing faces in photos to powering autonomous vehicles. Traditional neural networks, while powerful, can struggle with Read More …
RAG: Giving AI a Better Memory
Imagine you’re trying to answer a tough question, but your brain doesn’t have the specific information. What do you do? You probably look it up – maybe on the internet or in a book. Retrieval-Augmented Generation, or RAG, is a way to give AI models a similar ability. Think of a powerful AI language model as Read More …
AZ 900 – Part II – Architecture & Security II
Microsoft Azure is a powerful cloud computing platform that provides a wide range of services and resources for building, deploying, and managing applications and services through Microsoft-managed data centers. Understanding the structure of Azure is essential for effectively utilizing its capabilities. Key components of Azure’s organizational structure include subscriptions, management groups, resource groups, and resources. Read More …