DeepBake

DeepBake AI
DeepBake is a collection of neural network predictors, one for each episode. Each week for each baker, DeepBake calculates a probability score for five different rankings such as being the winner, a finalist, or a semi/quarter-finalist. Click here for a in-depth explanation and the GitHub repository

Season 13 Predictions
Every week tune in for the most up to date predictions for the GBBO Winner, Finalists, and other placings.

Click here for Season 13 Predictions

Season 12 Predictions
Every week tune in for the most up to date predictions for the GBBO Winner, Finalists, and other placings.

Click here for Season 12 Predictions

Season 11 Predictions
Every week tune in for the most up to date predictions for the GBBO Winner, Finalists, and other placings.

Click here for Season 11 Predictions

Season 10 Predictions
We put DeepBake to the test every week of Season 10. See how DeepBake guessed the winner and was correct more often than not at predicting who would leave the tent.

Click here for Season 10 Predictions

Github Repository
Check out the source code for DeepBake. DeepBake is built on python and implements the keras and tensorflow libraries for deep learning. Jupyter notebooks are located in the NOTEBOOKS directory.