A hidden layer is a layer in a neural network that lies between the input layer and the output layer, playing a crucial role in processing and transforming input data through weighted connections. This layer is where most of the computations occur, allowing the network to learn complex patterns and relationships in the data. The presence of one or more hidden layers enables a neural network to model non-linear functions, significantly enhancing its predictive capabilities.
congrats on reading the definition of hidden layer. now let's actually learn it.