Deep Learning Fundamentals

The Core Idea

Deep learning relies on representing data across layered feature spaces.

Neural Networks as Building Blocks

Artificial neural networks are the fundamental building blocks of deep learning, mimicking the structure of the human brain to process information.

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Backpropagation: Learning from Errors

The backpropagation algorithm is crucial for training these networks, allowing them to learn by adjusting their connections based on errors in their predictions.

Frequently asked questions

What APIs are available for transmitting Estimated Time of Arrival (ETA) and On-Time Information (OTIF) to customer portals?

APIs for ETA/OTIF to customer portals.

How can I create playbooks and alerts designed to respond to extreme events?

Playbooks and alerts for extreme events.

Can I integrate data from movement sensors, detectors, weather reports, and yard measurements into the simulator, and how should I account for baseline delays?

Integrate movement, detector, weather, and yard data; baseline delays.

How do I train risk/ETA models within mysimulator.uk and validate their performance using historical train data?

Train risk/ETA models; validate on priority trains.

▶ Try it live

Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Earthquake Wave Propagation Simulation simulation