Step into the fascinating world of Recurrent Neural Networks (RNNs) — a key technology driving modern artificial intelligence. From natural language processing to time-series forecasting, RNNs make it possible for machines to understand and predict sequential data.
🔍 What You’ll Learn in This Video:
1️⃣ What Are RNNs?
Learn how Recurrent Neural Networks process sequential data and why they’re perfect for time-based tasks like speech recognition and text generation.
2️⃣ Core Concepts:
Understand how RNNs maintain memory across sequences, the challenges of vanishing gradients, and how advanced architectures like LSTMs and GRUs overcome them.
3️⃣ Real-World Applications:
NLP – Powering chatbots, translation, and sentiment analysis
Finance – Forecasting trends in stock markets and business data
Speech Recognition – The brain behind Siri and Alexa
Video Processing – Helping AI understand visual sequences
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