Deep Learning Systems
Data transformation refers to the process of converting data from one format or structure into another to make it suitable for analysis or modeling. In the context of multilayer perceptrons and deep feedforward networks, data transformation plays a critical role in preprocessing input data to enhance the learning process and improve model performance. This involves scaling, normalizing, or encoding data, ensuring that the neural network can effectively interpret and learn from the provided information.
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