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Can A Computer Choose Your Clothes? Neural Networks in AI

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December
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Mon Dec 13th 5:00pm-6:30pm 1 Days
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Online - Remote Learning
Sat Dec 18th 10:00am-11:30am 1 Days
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January
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Wed Jan 12th 5:00pm-6:30pm 1 Days
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February
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Wed Feb 16th 5:00pm-6:30pm 1 Days
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Wed Mar 23rd 5:00pm-6:30pm 1 Days
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June
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Sat Jun 11th 10:00am-11:30am 1 Days
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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

For online courses: these require 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. For on campus courses: laptops are provided for all junior courses, as well as Music, Unity, Creative Design & YouTube senior courses. Laptop rental is available for all other senior courses (£50 extra).

Can A Computer Choose Your Clothes? Neural Networks in AI

For online courses: these require 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. For on campus courses: laptops are provided for all junior courses, as well as Music, Unity, Creative Design & YouTube senior courses. Laptop rental is available for all other senior courses (£50 extra).

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

"I learnt so much and the course has definitely made me consider studying computer science and coding in the future."

Aaniya, Teen student