I’m very new to HTM and I’ve also been reading up about using Curriculum Learning for neural networks. See here.
With Curriculum Learning, you gradually feed your model increasingly difficult training data, like increasingly noisy data, or as the authors of the above paper have done, increasing the variance in an object’s position, size, orientation, etc.
My question is, do you think this method of training can be applied to HTM? Could HTM handle an increasingly ‘difficult’ pattern? I’m thinking along the lines of object recognition.