yet through the nether spaces I can still hear my sound, as universe collides with universe, skin contacts the ground... back again I was, with prize at hand and sweetness on my lip, a little dancing of the tongue and drip, drip, drip... each fiber of my being exploding with sight...
LSTM (long short-term memory) network was developed to address the “vanishing gradient” and “exploding gradient” issues that are commonly encountered in traditional recurrent neural networks (RNNs). This is achieved through the introduction of specialized memory cells and three gate structures: th...
By normalizing the data of each batch, the network convergence speed is accelerated while preventing the gradient from disappearing and exploding in the network. Since ReLU uses x for linear activation in the region of x > 0, which may cause values that are too large after activation and ...