Explore the fundamentals of Recurrent Neural Networks (RNNs) in this 23-minute educational video. Begin with a friendly introduction to deep learning and neural networks, then delve into key concepts such as vectors, simple neural networks, and RNNs. Learn through practical examples like finding the perfect roommate and creating a cooking schedule. Examine more complex RNN structures, including applications in food prediction, weather forecasting, and mathematical operations. Discover how to initialize weights randomly and optimize them using gradient descent. Gain insights into error functions specifically designed for RNNs. Perfect for those seeking a comprehensive yet approachable explanation of how computers predict and generate sequences using recurrent neural networks.