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What Is GRU (Gated Recurrent Unit)
This section provides a quick introduction of GRU (Gated Recurrent Unit), which is a simplified version of the LSTM (Long Short-Term Memory) recurrent neural network model. GRU uses only one state vector and two gate vectors, reset gate and update gate.
2023-05-14, 488🔥, 2💬

💬 2023-05-14 Nancy: Thanks!

💬 2023-04-14 Computerizor: Wow thank you so much for an easier way of understanding how a gru works

Impact of Activation Functions
This section provides a tutorial example to demonstrate the impact of activation functions used in a neural network model. The 'ReLU' function seems to be a better activation function than 'Tanh', 'Sigmoid' and 'Linear' for the complex classification problem in Deep Playground.
2023-05-14, 326🔥, 2💬

💬 2023-05-14 Herong: Marvin, Thanks for pointing out the errors in the diagram. They are corrected now.

💬 2023-04-27 Marvin: Hey Herong, I was looking for illustrations of the activation functions that I can cite for my master thesis and found this page...

Impact of Activation Functions
This section provides a tutorial example to demonstrate the impact of activation functions used in a neural network model. The 'ReLU' function seems to be a better activation function than 'Tanh', 'Sigmoid' and 'Linear' for the complex classification problem in Deep Playground.
2023-04-27, 137🔥, 1💬

What Is GRU (Gated Recurrent Unit)
This section provides a quick introduction of GRU (Gated Recurrent Unit), which is a simplified version of the LSTM (Long Short-Term Memory) recurrent neural network model. GRU uses only one state vector and two gate vectors, reset gate and update gate.
2023-04-14, 156🔥, 1💬

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