A sigmoid function is a mathematical function having an "S" shape (sigmoid curve).
This is a logistic sigmoid function: I know x. How can I calculate F(x) in Python now? Let's say …
python sigmoidWhen trying to get cross-entropy with sigmoid activation function, there is a difference between loss1 = -tf.reduce_sum(p*tf.…
machine-learning tensorflow classification cross-entropy sigmoidI am about making backpropagation on a neural network that uses ReLU. In a previous project of mine, I did …
neural-network backpropagation sigmoid reluI am training a binary classifier using Sigmoid activation function with Binary crossentropy which gives good accuracy around 98%. The same …
binary classification keras softmax sigmoidThe following code is written in Octave Programming language g =1./(1+e.^-(z) It computes a sigmoid function and can …
python-3.x math sigmoidI've implemented a basic MLP in Keras with tensorflow and I'm trying to solve a binary classification problem. For binary …
python tensorflow neural-network keras sigmoidI have a big dataset composed of 18260 input field with 4 outputs. I am using Keras and Tensorflow to build a …
python tensorflow keras neural-network sigmoidI'm trying to fit a sigmoid function to some data I have but I keep getting:ValueError: Unable to determine …
python-3.x scipy curve-fitting sigmoidI have a list of values, ranging from 15000 to 25000. I have to separate them into two categories, such that (approx) 20000 …
python machine-learning neural-network keras sigmoidI am trying to understand why my sigmoid function when the input is 37, it output 1. the sigmoid function: import math …
python math sigmoid