Can you solve non-linear problems with a neural network without using backpropagation?
92956
Is it possible to train a neural network without backpropagation?
36499
Can a neural network learn a functional, and its functional derivative?
98493
How to compute prediction bands for non-linear regression?
13041
Using neuralnet with caret train and adjusting the parameters
151892
How do you visualize neural network architectures?
12304
State-of-the-art algorithms for the training of neural networks with GRU or LSTM units
38075
What is the trade-off between batch size and number of iterations to train a neural network?
61083
Why is Newton's method not widely used in machine learning?
19651
What are the advantages of ReLU over sigmoid function in deep neural networks?
455
Recurrent vs Recursive Neural Networks: Which is better for NLP?
41097
Is there any supervised-learning problem that (deep) neural networks obviously couldn't outperform any other methods?
158511
"Non-linear" algebra
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
17817
Diagram of an artificial neural network
63655
Neural network with skip-layer connections
77118
What did my neural network just learn? What features does it care about and why?
75450
How does rectilinear activation function solve the vanishing gradient problem in neural networks?