Spar
Reputation: 483
Does all neurons in the same layer compute same result?
Excuse my nubish question but:
Imagine I have a Neural Network with 3 Layers. If all Neurons in the 2nd Layer compute the very same function: σ[Σ(wi*xi) + b] Doesn't that mean that all neurons in that layer compute the same result?
Upvotes: 0
Views: 142
Answers (1)
Avi
Reputation: 362
No, because each neuron has different weights. w and b are different for each neuron.
Upvotes: 1
Related Questions
- Does one convolutional filter always have different coefficients for each of the channels of the previous layer?
- tensorflow/keras - does each layer run concurrently all the time?
- Is a multilayer neural net of 2 neurons just the same like 1 neuron
- How do neural network models learn different weights for each of the neuron in a single layer?
- Can units in neural hidden layer capture same feature?
- Should ANN results change based on output?
- Neural network output layer activation
- Understanding varying neurons in deep learning?
- neural network produces similar pattern for all inputs
- Can a Neural Network using SGD change only one output of many with backprop?