Data, Models, Reality
Christian and Tim discuss the confusion around data, models, and reality in machine learning pipelines. Christian delves into the concept of internal covariate shift and the debate surrounding its impact on training efficiency. The conversation highlights the importance of revisiting and challenging established beliefs in the field.In this clip
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Machine Learning Street Talk (MLST)
#50 Christian Szegedy - Formal Reasoning, Program Synthesis
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