Deep Learning - Recurrent Neural Networks with TensorFlow - GRU and LSTM (Part 1)

The video tutorial introduces RNN units, focusing on LSTM and GRU, and explains their necessity due to the vanishing gradient problem. It discusses how LSTM and GRU address this issue, with a detailed explanation of GRU's structure, equations, and functionality. The tutorial emphasizes understanding equations over diagrams and highlights the importance of exploring innovative ideas in machine learning.

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