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The Model Selection Triad
Cerebra is a project that aims to improve the model building process for deep luning systems. The system will be able to scale two very large data sets on a single machine, without needing to partition your work into separate parts. It's inspired by the datab systems word, like when you write an escuel query or when you write a transaction, how exactly is it axising the data? And so now cerebra will be a middle ware system that intercepts that and now translates the computations to tensi flow and pitoch executions.