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• Feature Maps: In the context of deep learning, feature maps refer to the output of a layer in a neural network that corresponds to a specific set of learned features. These features are learned through the process of training the neural network on a larg ... Read More >>
• TensorFlow: TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks. TensorFlow was dev ... Read More >>
• Categorical Variable: In data science, a categorical variable is a variable that can take on one of a limited, and usually fixed, number of possible values, known as categories or levels. These categories can be nominal, ordinal, or binary. Nominal categories ar ... Read More >>