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Results tagged with deep-learning
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user 40137
a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
2
votes
How does Sigmoid activation work in multi-class classification problems
@bharath chandra A Softmax function will never give 3 as output. It will always output real values between 0 and 1. A Sigmoid function also gives output between 0 and 1. The difference is that in the …
- 173
2
votes
Why my network needs so many epochs to learn?
The above answer is quite self explanatory. One small thing I would like to add that too many epochs may lead to overfitting. The model will keep learning as many epochs we may allow. So there must be …
- 173