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Results tagged with deep-learning
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user 39845
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.
0
votes
How deep should my neural network be?
Don't worry about engineering features for a neural network. The point of them is that they learn the features well themselves.
In a nutshell, first, make sure you have a representative validation se …
- 366
8
votes
Should I use GPU or CPU for inference?
Running inference on a GPU instead of CPU will give you close to the same speedup as it does on training, less a little to memory overhead.
However, as you said, the application runs okay on CPU. If …
- 366
2
votes
How to map ground truth to prediction for UNet architecture
It depends on how your UNet architecture is constructed.
In the example image you've shown, the output of the first few layers of convolutions is cropped to 392x392 before it's copied over to the in …
- 366