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    • 50 Days of Deep Learning  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://misraturp.gumroad.com/l/kick-... Pandas cheat sheet: https://misraturp.gumroad.com/l/pandascs Fundamentals of Deep Learning in 25 pages: https://misraturp.gumroad.com/l/fdl COURSES: Website - https://misraturp.com/ Twitter -   / misraturp Â

Key Concepts and Techniques for Natural Language Processing

Long Short-Term Memory (LSTM), Clearly Explained

AlphaFold - The Most Useful Thing AI Has Ever Done

A friendly introduction to Recurrent Neural Networks

Is AI Hiding Its Full Power? With Geoffrey Hinton

Recurrent Neural Networks (RNNs), Clearly Explained!!!

The Essential Main Ideas of Neural Networks

The Skill That 10x’d My Claude Code Projects

Watching Neural Networks Learn

But what is a convolution?

Part 1 Video 1: The AI Family Tree

The Brain’s Learning Algorithm Isn’t Backpropagation

What is LSTM (Long Short Term Memory)?

Support Vector Machines Part 1 (of 3): Main Ideas!!!

Illustrated Guide to Transformers Neural Network: A step by step explanation

165 - An introduction to RNN and LSTM

Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

Transformers, explained: Understand the model behind GPT, BERT, and T5

Word Embedding and Word2Vec, Clearly Explained!!!

