Pre-made networks to help you get started
We’ve created a handy list of well-known and well-performing networks to help you get started with more complex deep neural network architectures, without actually having to build the models yourself. The new snippets on the platform include popular and well-known implementations of ResNetv2, DenseNet, Inception, VGG, Tiramisu and U-Net. These can be found under Modeling > Blocks > Snippets. If you’re unsure which snippet to use for your problem, check out the Snippet tooltip to get information on what types of problems you can approach, what type of input data to use and for additional background. This information appears by hovering over a snippet block. Once you know which snippet to use, just add it to the modeling canvas, define the training data and your target and start experimenting! Check out the documentation on snippets in our Knowledge center, for more information on which snippets to use for different problem types.