Deep Learning, Linear Algebra, AI, Artificial Intelligence, Machine Learning.
sequential data, and they involve recurrent connections that can be represented using matrices. The hidden state of an RNN at each time step is a function of the input and the previous hidden state, making it a linear transformation. Weight Initialization: Proper weight initialization is crucial