Neural networks
Dive into the world of neural networks, the building blocks of modern artificial intelligence. Learn how these computational models mimic the structure and function of the human brain to process data, recognise patterns, and make predictions.
Feb 12, 2025
1. What is a neural network?
Discover how the interconnected nodes of neural networks mimic human learning and revolutionize technology.
Feb 12, 2025
2. Feedforward neural networks: everything you need to know
Feedforward neural networks (FNNs), often referred to as multi-layer perceptrons (MLP), are one of the simplest forms of neural networks.
Feb 12, 2025
3. What are Convolutional Neural Networks (CNNs)?
Explore the architecture of Convolutional Neural Networks (CNNs), their ability to learn spatial hierarchies, and their role in artificial intelligenc...
Feb 12, 2025
4. Introduction to Recurrent Neural Networks (RNNs)
A class of artificial neural networks specifically designed to handle sequential data, making them highly effective for tasks where the order of data ...
Feb 12, 2025
5. Neural networks: Introduction to generative adversarial networks
GANs consist of two neural networks - a generator & a discriminator - locked in a creative game. Learn how this leads to stunningly realistic data gen...
Feb 12, 2025
6. Neural networks: How to optimize with gradient descent
Learn the different gradient descent algorithms and practical tips for effective optimization.
Feb 12, 2025
7. Transformer models: What are they, and how do they work?
Transformers have redefined how machines understand and generate human language by processing data sequentially. Learn what they are, how they work, a...
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