The world of AI can be overwhelming. Defining one word often involves three others you also didn't know, and by the time you feel comfortable with one concept you've added 10 more to your list of things-to-look-into.
We made the AI Wiki for exactly those reasons. This is a resource for anybody entering the field, as well as experienced practitioners who need a quick refresher on a certain topic.
Do you know what a TPU is? Are you ever confused between the correct number of epochs, iterations, and batch size? How about the difference between machine learning, deep learning, and data science? Equipped with easy-to-understand definitions and helpful graphics, the AI Wiki answers questions like these and dozens more.
Think we missed something? Submit a comment or idea here, or reach out on our Community board.
