Can A Computer Choose Your Clothes? Neural Networks in AI

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In this course picker times will be displayed in timezone chosen above but all times shown elsewhere will reflect the UK Times these events take place.

May
Online - Remote Learning
Wed May 19th 5:00pm-6:30pm 1 Days
£10Details

Can A Computer Choose Your Clothes? Neural Networks in AI

A fascinating exploration of how A.I. applications recognise numbers, text, sound and images. By analysing our photos of our clothing preferences, could a computer choose our next outfit? Let’s give it a go!

Ages:

13-17

Equipment:

Laptop, required

Currently available in:
  • Online
Pricing details
Price:  

£10

This course is delivered online and therefore requires you to have a capable computer to work on and a broadband internet connection. Most PC/Mac computers from the last 5 years will be fine but you can view our recommended detailed system requirements here.

Can A Computer Choose Your Clothes? Neural Networks in AI

This course is delivered online and therefore requires you to have a capable computer to work on and a broadband internet connection. Most PC/Mac computers from the last 5 years will be fine but you can view our recommended detailed system requirements here.

from £10

Course highlights

Classification Algorithms in A.I.

Classification Algorithms in A.I.

Classification algorithms are a popular AI application that allows us to group things into categories, making computers “recognise” different stimuli!

A.I. and Neuroscience

A.I. and Neuroscience

Cool fact: A.I. is now built in order to closely mimic neural networks in the human brain!

Building our own classification algorithm

Building our own classification algorithm

We will use code in Python to build our own classification algorithm! Can we make a computer “see”?

Featured FAQ

What is a Fire Tech Experience?

Fire Tech Experiences are regular, super short, high-interest sessions about the very latest developments in technology on topics you will love. Designed and led by inspiring, enthusiastic experts, …

Photo: Can A Computer Choose Your Clothes? Neural Networks in AI

Course Overview

This fascinating session will explain the principles behind Convolutional Neural Networks (CNN) , a method used by A.I. applications to recognise numbers, text, sound and images. For example, by analysing photos of our clothing preferences, could a computer choose our next outfit? Let’s give it a go!

The CNN method was inspired by the way neurons communicate with each other in our brains; computers try to mimic the architecture of the human brain and process data both in parallel and sequentially in order to recognise stimuli they’ve never been exposed to. Incredible!

In the first half of this Fire Tech Experience, we’ll familiarise ourselves with the principles of CNN, how they work, their structure and applications.

In the second half, we will talk about the technical application of CNN, we’ll try to understand the code behind them and attempt to write down a sound recognition algorithm by ourselves!

FireTech Experiences are a new series of short, high interest, fun and engaging tech demonstrations and talks. These are delivered in webinar style, using Zoom, with the main expert tutor showcasing a new interesting aspect of technology and learning. Apart from Zoom, no other downloads are required.

What your child will learn

  • Basic Concepts around A.I.
  • A.I. and Classification Algorithms
  • A.I. and Neuroscience
  • Neural networks
  • Building a classification algorithm
  • Activity: creating an audio classification algorithm

Can A Computer Choose Your Clothes? Neural Networks in AI FAQs

Questions and answers of the customers


Meet Will

Will studied at the Royal Academy of Music and is one of Fire Tech most long-standing digital music tutors. He's a drummer, composer, and loves teaching young people how to combine technology with music to build sounds, songs, compositions and much more.

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"Fire Tech was a place where I learned things I had never known before taking the course, and where I made many friends who shared the same interest as me."

Iona, Teen photographer