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When I look into MnistSuperpixels dataset, each graph has exactly 75 nodes.
When I convert MNIST to superpixels by myself using ToSLIC transform from pytorch geometric, I get exactly 81 nodes for e…
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I am trying to optimize a deep learning training task, and there is a need to measure gpu i/o usage (for example how much time gpu i/o is working/idle during an iteration or an allreduce operation).
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The aim of making RDF easier for the next 33% of developers begs the question of what are the popular application use cases for graph data (as a generalisation of RDF)? Here are some examples taken fr…
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**Choose Topics for Presentation**
- [x] Q-learning
- [x] Deep Neural Network
- [x] Artificial General Intelligence
- [x] Artificial Quantum Intelligence
- [x] Cognitive Science
- [ ] Quantum Co…
ErSKS updated
4 years ago
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I was wondering if you still have the dataset you used to create the deep learning graphs in your paper. I think these datasets can be a very interesting benchmark. The deep offline RL space is curren…
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Structured data arises in a few of the domains discussed throughout the review. For example, CNNs perform tremendously for many tasks based on data from a regular graph like images ([subsection here](…
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Перечислить библиотеки с примерами.
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I'm not sure how to do this, but there has to be some way of forcing the network to be "curious" in training.
Something to talk about in our next meeting, perhaps!
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Pose a question about one of the following articles:
“[DeepWalk: Online Learning of Social Representations](https://dl.acm.org/doi/pdf/10.1145/2623330.2623732)”, 2014. B. Perozzi, R. Al-Rfou, S. S…
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A skin cancer detection model using TensorFlow to classify images as malignant or benign.