Understanding Transfer Learning and Model Interpretability

Introduction In this blog, we’re going to look at transfer learning, a technique that enables the transfer of knowledge from one task to another. The traditional machine learning approach is to start with zero knowledge, and the model learns the structure and parameters of the model with the training examples provided: this type of learning […] The post Understanding Transfer Learning and Model Interpretability appeared first on Cloudera Blog....

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