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Results tagged with training
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user 4631
For questions about training networks, rules systems, or other AI system components.
1
vote
How does an activation function's derivative measure error rate in a neural network?
Measuring the error rate of a neural network does not involve the derivative of the sigmoid function at all. It only needs the neural networks outputs, and the expected outputs. It does not matter how …
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7
votes
Why are the initial weights of neural networks randomly initialised?
The initial weights in a neural network are initialized randomly because the gradient based methods commonly used to train neural networks do not work well when all of the weights are initialized to t …
- 873
1
vote
Accepted
Are both the training and inference systems required in the same application?
Training and inference are usually completed on two separate systems. … However, training and inference are almost always done on two separate systems. …
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8
votes
Accepted
What are the best known gradient-free training methods for deep learning?
There are several different algorithms that can be used for gradient free neural network training. …
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1
vote
Accepted
Can particle swarm optimization be used to train neural networks with more than one hidden l...
If you have, let's say, 1,000,000 training examples, you are doing a lot more error calculations, even if you used a small batch size, than if you used another technique lake back-propagation or a related …
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