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**1. Tim**
Strahinja Praška RA 245/2021
**2. Asistent**
Aleksandra Kaplar
**3. Definicija problema**
Branch prediction - tehnika koja se koristi za predviđanje toka izvršavanja kondiconal…
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#### Learning Goals
1. Image dataset generation from images collected around the web
2. Building a convolutional neural network (Pytorch and keras) for classification
### Exercise Statement
Des…
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Siracusano, Giuseppe, Bifulco, Roberto
We present N2Net, a system that implements binary neural networks using
commodity switching chips deployed in network switches and routers. Our system
shows tha…
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1. [Binary Relevance Efficacy for Multilabel Classification](https://link.springer.com/article/10.1007/s13748-012-0030-x) > https://github.com/Gin04gh/datascience/issues/6#issuecomment-419388287
1. […
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Preamble:
I've built a [simple app](http://cmd.camp/nntrainer/index.html) based on ML5 Neural Networks to allow my students to train their own models.
For their understanding of ML it would be …
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Hi Thomas,
I am new in graph neural network field and I was going through different kinds of graph networks proposed by you. I want to solve very simple problem using graph networks. The problem lo…
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There are numerous libraries out there that implement standard ML techniques like k-nearest-neighbour, support vector machines, neural networks, bayes networks etc. This is a collection of links and d…
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Thanks a lot for offering such good tool for multi-label text classification. It's pretty helpful for my research.
Because I am new to the field of neural network and multi-label, I can't understand…
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#### Learning Goals
- Learn Convolutional Neural Networks in Tensorflow
- Learn Multi-dimentional Image Classification
- Learn Image Augmentation
### Exercise Statement
Write a Convolutio…
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The retrain_cost_model binary in Adams2019 relies on the pipeline_id field to avoid re-reading pipeline features from subsequent samples. This speeds up loading a large number of samples. However, the…