Deep Learning, Linear Algebra, Neural Networks, Machine Learning, Artificial Intelligence.
computes gradients across time steps by unrolling the network, making it possible to train RNNs on sequential data. This mathematical framework is vital for tasks like natural language processing and time series analysis. Conclusion The intricate interplay between mathematics and deep learning is