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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.
3
votes
Softmax cost function
No, that is not what is happening, the definition of the Softmax classifier is: $$z \in \mathbb{R}^K; \sigma(z)_j = \frac{e^{z_j}}{\sum_{k = 1}^{K} e^{z_k}} $$ Let's talk first about what the softmax …
3
votes
How can both generator and discriminator losses decrease?
In the subsection of the figure, they compute the average loss across 100 iterations, which is why the loss is monotonically decreasing because on average the loss does decrease with the training.
You …