The reason why Keras became so popular is that it borrowed a lot of concepts from Lua Torch (which predates even Theano). And anyone who worked with Torch immediately sees it reading Keras code. But Torch was Lua and naturally it received less recognition than it deserved. Your will not lose anything by simply moving to PyTorch.
The Keras examples are a good reference (e.g. https://www.tensorflow.org/tutorials/keras/classification ); even without an AI background, you have a sense of both what's going on how to tweak the model to improve it.