What is the problem with training Neural Networks with back propagation with activation functions that only output positive values?
38690
Why are non zero-centered activation functions a problem in backpropagation?
146981
Using Softmax activation function for multi-class classification
110479
Why doesn't backpropagation work when you initialize the weights the same value?
140293
Learning a quadratic function using TensorFlow/Keras
145300
A list of cost functions used in neural networks, alongside applications
119698
Why are bias nodes used in neural networks?
94250
Comprehensive list of activation functions in neural networks with pros/cons
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
93969
Is it possible to learn a neural networks for a constant target?
122549
decision boundary of perceptron too small
91913
Neural Network: For Binary Classification use 1 or 2 output neurons?
142078
ReLu vs a linear activation function
138385
Why does the first forward pass in a neural-network (NN) classification model computes to zero for all classes before final activation?
130654
How can a network with only ReLU nodes output negative values?
56397
Why do smaller weights result in simpler models in regularization?
82269
Backpropagation algorithm and error in hidden layer
142667
Understanding how many biases are there in a neural network?