Recurrent Neural Networks Explained in 30 Seconds!

Recurrent Neural Networks, or RNNs, are designed to understand sequences — like text, speech, and time-series data. Unlike regular neural networks, they have a memory, letting them remember previous inputs to make better predictions. 🧠✨

In this short, you’ll quickly learn how RNNs process data step by step — and why they’re so powerful for sequential tasks.

👉 Watch my detailed video to dive deeper into RNNs, hidden states, vanishing gradients, and more — all visually explained! 🎨💻

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Видео Recurrent Neural Networks Explained in 30 Seconds! канала Code & Canvas