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Results tagged with deep-learning
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user 101251
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.
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Is it a good practice to evaluate a model on the training set
Although testing on all train-validation-test set are preferred for getting good view of over-fitting and under-fitting. you can think of cross validation as improvement of model on training dataset b …
- 101
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what is meant by minimizing and maximizing in GANs?
It is a subtle change that involves the generator maximizing the log of the discriminator probabilities for generated images instead of minimizing the log of the inverted discriminator probabilities …
- 101