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

The video tutorial explains how to define and compute the loss function using cross entropy loss. It covers the process of calculating loss for model predictions and one-hot vectors, and introduces the compute loss function. The tutorial also prepares viewers for writing a train function that uses gradient descent to minimize loss, with automatic gradient computation using PyTorch's autograd mechanism.

Describe the process of calculating the expected loss from the total loss value.

What role does gradient descent play in training a model?