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Results tagged with neural-networks
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user 1104
Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
3
votes
Accepted
OLS Regression versus Neural Network with regression output
Am I correct in thinking that the answer has something to do with the neural net exploring different non-linear combinations of the x-values?
Yes, you are exactly correct. OLS can only learn a li …
- 629
11
votes
is scaling data [0,1] necessary when batch normalization is used?
As mentioned, it's best to use [-1, 1] min-max scaling or zero-mean, unit-variance standardization. Scaling your data into [0, 1] will result in slow learning.
To answer your question: Yes, you should …
- 629
1
vote
Accepted
Meaning of the linear transformation in sigmoid output for Bernoulli parameter estimation
Consider the diagram of a simple feed-forward neural network on page 170:
Section 6.2.2.2 on page 178 is describing using this network with a sigmoid activation to predict the parameter of a Bernou …
- 629