Machine Learning, Neural Networks, Artificial Intelligence, Data Science, Data.
technique is incredibly straightforward: For each node of probability p, don’t update its input or output weights during backpropagation. That’s it. This prevents nodes from becoming too “spiky” — in other words, weighing any given input from the previous layer too heavily. Instead, the surrounding