Deep Dive into Convolution Nueral Networks (CNN)!
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This series was cancelled by the tutor on May 24, 2024. We're very sorry–you can explore more Computer Science series here. All 1:1 and group chats related to this series are disabled 7 days after the last session.
About
Hello Everyone!
Welcome to Deep Dive into Convolution Neural Networks. In this series, I will teach you how to program your own convolution neural network (CNN) through Python and I will explain how convolution neural networks work, by providing a full outline on how the layers of the model function and a introduction into backpropagation. I want everyone to think of a image recognition problem that they want to solve before joining this series, as this series will be tailored to each individual's needs, based on the project they choose. Please keep in mind that we are strictly only working with CNNs, so do not choose a project that would involve a different type of model. Finally, at the end of this series I will provide a through explanation of how to choose and prepare a project that will get you to the International Science and Engineering Fair (ISEF), as I was given the oppourtunity to compete this year! Hope to see you soon!
NOTE: we will be using Replit and GitHub through this process. I recommend having a laptop where you can save and quickly access files, if you want to be able to deploy your CNN as a website (which we may cover this this series as well).
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