A Friendly Introduction to Recurrent Neural Networks

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.

A friendly introduction to Recurrent Neural Networks
A friendly introduction to Deep Learning and Neural Networks
Vectors
Perfect Roommate
Simple Neural Network
Simple Recurrent Neural Network
Cooking Schedule
More Complicated RNN
Food
Weather
Add
Merge
Start with random weights
Use Gradient Descent
New Error Function