The resources and expertise needed to use Deep Learning (DL) in bioimaging remain significant barriers for most laboratories. We presenthttps://github.com/HenriquesLab/ZeroCostDL4Mic/wiki, a platform simplifying access to DL by exploiting the free, cloud-based computational resources of Google Colab.https://github.com/HenriquesLab/ZeroCostDL4Mic/wikiallows researchers to train, evaluate, and apply key DL networks to perform tasks including segmentation, detection, denoising, restoration, resolution enhancement and image-to-image translation. We demonstrate the application of the platform to study multiple biological processes.