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Results tagged with deep-learning
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user 32429
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
1
answer
312
views
How does region proposal network (RPN) and R-CNN works?
I would like to know where I could find useful articles/papers about the basic concepts of RPN and R-CNN.
- 4,088
3
votes
2
answers
7k
views
How to correctly resize input images in a CNN?
I have a training set composed of images having different width and height, I need to resize them to a fix dimension nxn or nxm before passing them as the input of a CNN.
I would like to know which p …
- 1,657
7
votes
1
answer
10k
views
How to implement LSTM with Spark?
I would like to build an LSTM network for text classification with PySpark, but I don't find any library or function about it.
Is it possible to implement this kind of network in Spark?
- 6,355