Undoubtedly, the cornerstone of the project is the exploration of possible improvements for convolutional neural networks. CNNs have been used for object recognition a million times, and having a specific genus of fungi as a subject is nothing special enough to warrant a research paper. However, they do present an interesting issue: they are similar enough to cause a standard CNN issue with identification. Worse still, there is an even bigger host of issues arising from sourcing data from open datasets, such as obscured images, bad positioning, incorrect labeling, and countless others. In short, my project was not only tackling how to create a CNN to classify mushrooms

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• Biology