This repository contains a collection of data structures and algorithms implemented in various programming languages. It is designed to help learners understand key concepts through hands-on examples. Contributions and improvements are welcome!
LSTMs are a special type of RNN that address the vanishing gradient problem. They have gates that control the flow of information through the network, allowing them to learn long-term dependencies in data. LSTMs are widely used for tasks like natural language processing and time series forecasting.
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Description
LSTMs are a special type of RNN that address the vanishing gradient problem. They have gates that control the flow of information through the network, allowing them to learn long-term dependencies in data. LSTMs are widely used for tasks like natural language processing and time series forecasting.
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