Data Science and Machine Learning (Theory and Projects) A to Z - Vanishing Gradients in RNN: Attention Model Optional

The video tutorial explains the attention mechanism in machine translation, focusing on the mathematical details and workings of bidirectional networks. It covers the flow of activations in these networks and the role of the decoder network in producing translations. The tutorial also delves into the technical aspects of weight calculations in the attention model, including constraints and the use of softmax for normalization.

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