Deep Dive into AI

"AI is more than ChatGPT. Its a mathematically complex set of networks that make thousands of calculations per second." - Daniel Bourke

What is Behind AI?

AI functions via complex neural network algorithms, akin to the human brain. These networks, with interconnected nodes, learn from data to predict autonomously. Extensive datasets aid training, fostering pattern recognition and adaptation. Collaboration across STEM boosts their development and applications.

Image Classification

CNNs revolutionize visual recognition tasks through their hierarchical approach, extracting features, reducing dimensionality, and learning complex relationships. Then they are passed through connected layers, enabling the network to learn associationswithin the data. This technique finds use in medical diagnosis, autonomous vehicles, and surveillance.

Object Detection

Object detection models, often based on CNNs, learn to find and classify objects in images during training using optimization methods like stochastic gradient descent. Then they are deployed for real-world use in applications like surveillance, autonomous vehicles, and augmented reality.