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In this video tutorial, the presenter introduces a deep learning denoising technique called noise to void. They recommend watching the previous video for an overview and reading the paper to understand how it works. The video will demonstrate using noise to void to train on an image and then segment the same or other images. The presenter will use Google Colab for this tutorial, but it can be done with any IDE. Viewers are encouraged to subscribe for more videos.