Transformers Neural Networks Table Of Contents: What Is Transformer? Key Features Of Transformer? Applications Of Transformer? Key Features Of Transformer? How Do Transformers Handle The Issue Of Vanishing Gradients In Long-Term Dependencies? (1) What Is Transformer? Transformers are a type of deep learning model architecture that have gained significant attention and popularity, particularly in natural language processing (NLP) tasks. Unlike traditional recurrent neural networks (RNNs), transformers rely on a self-attention mechanism to capture dependencies between different elements of the input sequence. (2) Key Features Of Transformer? Self-Attention Mechanism: The self-attention mechanism is the core component of transformers. It allows the

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