Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model Exercise 02

The video tutorial discusses the definition and importance of loss functions in machine learning, particularly in many-to-many architectures with equal input and output lengths. It uses the Named Entity Recognition task as an example to illustrate how each word in a sequence is assigned a class category. The tutorial also explores the application of recurrent neural networks (RNNs) in solving such tasks, emphasizing the need for appropriate loss functions to optimize performance.

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