DNN output: why not use sigmoid instead of linear, for linear [0-1] outputs?
132334
Is it okay to use cross entropy loss function with soft labels?
68765
How do I make my neural network better at predicting sine waves?
54989
Why is binary cross entropy (or log loss) used in autoencoders for non-binary data
84451
Role derivative of sigmoid function in neural networks
12304
State-of-the-art algorithms for the training of neural networks with GRU or LSTM units
119698
Why are bias nodes used in neural networks?
126800
Why do we use multiple epochs and why does it not lead to over fitting
99025
Actual impact of W=0 in a neural network
4763
When generating samples using variational autoencoder, we decode samples from $N(0,1)$ instead of $\mu + \sigma N(0,1)$
145417
Why it is popular to use stochastic gradient descent in neural networks rather than the BFGS algorithm?
142078
ReLu vs a linear activation function
60956
Difference of Activation Functions in Neural Networks in general
102459
Why use gradient descent for linear regression, when a closed-form math solution is available?
88957
Why do we use Gaussian distributions in Variational Autoencoder?
51978
Keras - no prediction probability for multiple output models?
82269
Backpropagation algorithm and error in hidden layer
130654
How can a network with only ReLU nodes output negative values?