Fool-proof RNN explanation | What are RNNs, how do they work?

Recurrent Neural Networks and their variants have been the superstars of AI in the last couple of years. But how do they work under the hood? What is their structure like? How do they learn? In this video, we will answer all of those questions, step-by-step. We will first see the difference between neural networks and recurrent neural networks. We will also look into types of RNN cells such as Simple RNN cells, LSTMs and GRU cells. 👇 Watch my full course on deep learning on YouTube https://youtube.com/playlist?list=PLM8lYG2MzHmQn55ii0duXdO9QSoDF5myF Curious about deep learning? Start with the Fundamentals of Deep Learning booklet to learn the essentials in 25 pages - https://misraturp.gumroad.com/l/fdl RESOURCES: Data Science Kick-starter mini-course: https://www.misraturp.com/courses/data-science-kick-starter-mini-course Pandas cheat sheet: https://misraturp.gumroad.com/l/pandascs Streamlit template: https://misraturp.gumroad.com/l/stemp NNs hyperparameters cheat sheet: https://www.misraturp.com/nn-hyperparameters-cheat-sheet Fundamentals of Deep Learning in 25 pages: https://misraturp.gumroad.com/l/fdl COURSES: Hands-on Data Science: Complete your first portfolio project: https://www.misraturp.com/hods Website - https://misraturp.com/ Twitter - https://twitter.com/misraturp