transfer-function

Artificial Neural Network RELU Activation Function and Gradients

▼魔方 西西 提交于 2019-12-11 07:05:58
问题 I have a question. I watched a really detailed tutorial on implementing an artificial neural network in C++. And now I have more than a basic understanding of how a neural network works and how to actually program and train one. So in the tutorial a hyperbolic tangent was used for calculating outputs, and obviously its derivative for calculating gradients. However I wanted to move on to a different function. Specifically Leaky RELU (to avoid dying neurons). My question is, it specifies that

transfer function in time domain

老子叫甜甜 提交于 2019-11-26 22:08:35
问题 I have two signals in time domain (X and Y). I am trying to calculate the transfer function between them. I used the function tfestimate, which returns a transfer function as a function of frequency and a vector of frequencies at which tfestimate estimates the transfer function. It only returns for positive frequencies, since my signals are not complex. My issue is how to visualize this transfer function in the time domain. I tried the following code, but the returned function is reversed in