Designing Neural Networks - Stack Overflow
2013年6月12日 · I am learning about Neural Networks and back-propagation. I think I understand how the network works, in terms of input, output, hidden layers, weights, bias etc However, I still don't fully understand how to design a network to fit a problem.
Neural network design 2nd edition solution manual
2017年12月7日 · Neural Network design in matlab. 2. neural network,matlab programming. 0. MATLAB neural networks. 1 ...
Training a neural network to add - Stack Overflow
2010年11月17日 · I was trying to do the same. Trained 2,3,4 digit addition and was able to achive 97% accuracy. You can achieve with one of the neural network type, Sequence to Sequence Learning with Neural Networks. A sample program with Juypter Notebook from keras is available at the following link,
architecture - Neural Network Design - Stack Overflow
2010年1月8日 · Neural Network Design. Ask Question Asked 14 years, 10 months ago. Modified 14 years, 10 months ago ...
Neural Network design in matlab - Stack Overflow
2012年11月18日 · Your question is very general.You should us give more specific details of what you want to do. However, I give you some tips on using Matlab neural network toolbox out of my experience with License Plate Recognition using this toolbox. hope it helps. 1-You will need to know how many hidden layers you'll be using as well as number of your outputs.
Neural network for square (x^2) approximation - Stack Overflow
Overall: despite all the recent hype, the so called neural network are just parametrized functions of the input. So you do give them some structure in any case. If there is no multiplication between inputs, inputs will never be multiplied. If you know/suspect that your task needs them to be multiplied, tell the network to do so. –
Neural Network Architecture Design - Stack Overflow
2013年11月19日 · Neural Network Architecture Design. Ask Question Asked 11 years, 2 months ago. Modified 1 year, 8 months ago.
How to program a neural network for chess? - Stack Overflow
2017年2月28日 · Therefore, I would like to use an artificial neural network which should then evaluate a given position. The output should be a numerical value. The higher the value is, the better is the position for the white player. My approach is to build a network of 385 neurons: There are six unique chess pieces and 64 fields on the board.
How to create a neural network for regression? - Stack Overflow
2018年2月27日 · After you trained your network you can predict the results for X_test using model.predict method. y_pred = model.predict(X_test) Now, you can compare the y_pred that we obtained from neural network prediction and y_test which is real data. For this, you can create a plot using matplotlib library.
What is the role of the bias in neural networks? [closed]
2016年9月10日 · It might help to look at a simple example. Consider this 1-input, 1-output network that has no bias: The output of the network is computed by multiplying the input (x) by the weight (w 0) and passing the result through some kind of activation function (e.g. a sigmoid function.) Here is the function that this network computes, for various values ...