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Results tagged with deep-learning
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user 147868
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.
1
vote
In-batch Random Negative Sampling
From your words, I guess the authors mean that each sample is formed by 3000 negatives and 1 positive, and so each batch is formed by 600(3000+1) examples.
Indeed, the authors write that positive data …
- 152
1
vote
Accepted
ReLu layer in CNN (RGB Image)
You should put ReLU as the activation of the convolution layers. ReLU is not applied to the RGB values, but to the matrix obtained by convolving the image, also called the filter.
- 152