Deep Learning - Recurrent Neural Networks with TensorFlow - GRU and LSTM (Part 2)

The video tutorial covers the differences between LSTM and GRU, highlighting their structures, gates, and performance based on recent research. It emphasizes the importance of experimentation over philosophical reasoning in machine learning. The LSTM is explained in detail, including its gates and states, and practical implementation tips are provided for using LSTM in TensorFlow and Keras.

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