Long Short-Term Memory (LSTM) Explained
Автор: SmartSlides
Загружено: 2025-01-24
Просмотров: 572
Описание:
Long Short-Term Memory (LSTM) networks are a breakthrough in deep learning for sequential data, solving key challenges faced by traditional Recurrent Neural Networks (RNNs). In this video, we’ll explore:
📌What is LSTM? An advanced RNN variant designed to retain important information over long sequences.
📌Why LSTMs are better than RNNs: Overcome vanishing and exploding gradients to improve memory and performance.
📌Understanding LSTM gates: A step-by-step explanation of the Forget Gate, Input Gate, and Output Gate, and how they work together to manage information flow.
LSTMs power many AI applications like time-series forecasting, natural language processing, and speech recognition. Watch now to see why they’re so impactful in modern machine learning!
👉 If you’re interested in AI, ML, or deep learning, don’t forget to subscribe for more simplified explanations!
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