Algoritmos de computación

Os dejo a continuación el contenido de un trabajo de investigation sobre machine learning que he realizado en mi escaso tiempo libre: https://github.com/Zeta36/random-memory-adaptation ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Introduction. I present in this repository a (very simple) random memory adaptation model (RMA) inspired by the Google DeepMind paper: "Memory-based parameter adaptation (MbPA)" ( https://arxiv.org/pdf/1802.10542.pdf ) In the paper, point 4.1. CONTINUAL LEARNING: SEQUENTIAL DISTRIBUTIONAL SHIFT (inside experiments and results), they study the improvements their model suppose in relation to the catastrophic forgetting problem. They explored the effects of their model (MbPA) on continual learning, i.e. when dealing with the problem of sequentially learning multiple tasks without the ability to revisit a task. For this purposed they use