Attention network: Introduction & Background. Where does attention network comes from? why attention is needed? basic idea about attention
In this comprehensive introduction, we delve into the origins and significance of Attention Networks. Have you ever wondered how humans effortlessly focus on important information amidst a sea of stimuli? Join us as we uncover the history and evolution of Attention Networks, and why they have become a crucial concept in various fields.
🧠 Understanding the human brain's innate ability to selectively process information has led to breakthroughs in artificial intelligence, natural language processing, and more. Whether you're a beginner seeking a solid foundation or an enthusiast eager to expand your knowledge, this video is tailored for you.
Key topics covered in this video:
Origins of Attention Networks: Tracing back to psychological research and cognitive science.
How Attention Networks work: Exploring the mechanisms behind attention and focus.
Applications across domains: Discover why Attention Networks are integral to machine learning, neural networks, and beyond.
Real-world examples: See how Attention Networks improve tasks like language translation and image recognition.
Join us on this captivating journey to unravel the mysteries of Attention Networks. Don't miss out on the chance to grasp the fundamentals and stay tuned for upcoming videos where we'll delve even deeper into this engrossing topic.
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Link to RNN: LSTM: GRU is given below:
RNN
• Lecture 19|| Recurrent Neural Networks|| I...
GRU
• Lecture 22 || GRU|| RNN || Vanishing and E...
LSTM:
• Lecture 23|| word embedding || LSTM || Lon...
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