Artificial neural network for image classification Author: Sten - PowerPoint PPT Presentation

Nov 29, 2022 •436 likes •547 views

Artificial neural network for image classification Author: Sten Sootla Mentor: Tambet Matiisen Quick overview Loosely based on biological neural networks Able to learn by changing the connection strenghts between different nodes

Artificial neural network for image classification Author: Sten Sootla Mentor: Tambet Matiisen
Quick overview ● Loosely based on biological neural networks ● Able to learn by changing the connection strenghts between different nodes ● Hierarchical structure
My implementation ● Python ● 1 hidden layer ● Fully-connected ● CIFAR-10
Why this project? ● Artifical intelligence is very cool ● Jeff Hawkins “On Intelligence” ● Hype that superintelligence is right around the corner
Goals ● Understand how artificial neural networks work ● Get it working ● Achieve an accuracy of 50%
Process ● Read a lot of literature ● Got together with Tambet every week ● Mindlessly trying to implement some code ● Working with matrices is inconvenient ● After reading the same text for the 10 th time, some of the things finally make sense
Results ● Learned a lot ● Got it working ● Has a relatively poor accuracy, being able to classify the images correctly only 38% of the time
What next? ● Refactor the code ● Keep on learning and implement a convolutional neural network with multiple hidden layers ●
Thank you :)

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