Recurrent Neural Networks — How Models Learn from Sequences (RNN, LSTM, GRU)
Автор: Notebook Learning
Загружено: 2026-02-15
Просмотров: 4
Описание:
Some data isn’t static — it comes in sequences. Text, speech, time series, and signals all depend on order.
In this video, we explain Recurrent Neural Networks from first principles. What RNNs are, why simple RNNs struggle, and how LSTMs and GRUs solve the problem of learning long-term dependencies.
You’ll learn:
• What Recurrent Neural Networks (RNNs) are
• Why sequence data needs memory
• What problem LSTMs were designed to solve
• How GRUs simplify LSTMs
• Where RNNs, LSTMs, and GRUs are used in practice
This video is part of Notebook Learning, a channel focused on clear, visual explanations of complex topics in Data Science, Machine Learning, AI, and NLP.
Whether you’re a beginner, student, or developer, this video will help you understand how models learn from sequences in just a few minutes.
📘 New five-minute explainer videos coming regularly.
#RNN #LSTM #GRU #DeepLearning #NeuralNetworks #NLP #TimeSeries #AI #NotebookLearning
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