Dive into the world of Transformers, a revolutionary architecture in deep learning, and explore its applications in natural language processing, computer vision, and more.
Gain a comprehensive understanding of the Transformer's architecture, including its encoder-decoder structure, attention mechanisms, and positional encoding.
Learn how to train and fine-tune Transformer models for various tasks, such as machine translation, text summarization, and image classification.
Discover advanced techniques for optimizing Transformer models, including pre-training, transfer learning, and model compression.
Explore the latest research and applications of Transformers, including their use in generative AI, reinforcement learning, and healthcare.
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