Gated Recurrent Unit || GRU
Gated Recurrent Unit || GRU
Welcome to a comprehensive guide on GRU (Gated Recurrent Unit) cells, a powerful variant of recurrent neural networks (RNNs) used extensively in AI, machine learning, and deep learning applications!
This video presents the mechanics of GRU cells with a simple and beginner-friendly code example. You'll learn how GRU cells process input vectors, update hidden states, and control information flow using reset and update gates.
Topics Covered
The importance of concatenating input vectors with previous hidden states.
How reset and update gates function to manage information.
Step-by-step visualization of hidden state updates.
Practical Python code to demonstrate GRU workings.
Gated Recurrent Unit || GRU
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NB : It's for level 0
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