Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Predic

The video tutorial explains the process of setting up weight matrices for a Recurrent Neural Network (RNN). It begins with an introduction to the concept of weight matrices and the initial state vector H0. The tutorial then details the initialization of weights using a uniform distribution and the setup of WX and WY matrices. Finally, it prepares for the forward pass computation in the RNN, emphasizing the importance of defining the process for one time step to enable full propagation.

What is the relationship between the number of units and the size of the weight matrices in a recurrent neural network?

What dimensions should the weight matrix WY have if the vocabulary size is 80 and the number of units is 50?

Describe how the forward pass is defined for one time step in a recurrent neural network.