[R] Learning to Route in Similarity Graphs

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Learning to Route in Similarity Graphs (arxiv) The paper improves Similarity Graphs for large-scale Nearest Neighbor Search by training an agent to efficiently navigate the graph with deep imitation learning. Put simply, these guys train the search engine to better navigate the graph of all images so as to find […]

[P] Create deep learning models with flowpoints

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​ https://i.redd.it/my2ek0j7pr231.png Flowpoints makes it possible to create deep learning models in a flowchart kind of manner. ​ Simply create some nodes, connect them however you like, and copy the automatically written code! Models can be created with either TensorFlow or PyTorch. ​ With link sharing it's easy to share […]

[D] Handling Lag Features for different time frames.

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Hi, ​ I'm currently working on a project which involves a sort of time series problem which I transformed to a classification problem for more detailed prediction, i.e. rather than having an aggregated figure at the end of the day in the time series modeling of the problem, I rather […]

How to Train an Object Detection Model to Find Kangaroos in Photographs (R-CNN with Keras)

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Object detection is a challenging computer vision task that involves predicting both where the objects are in the image and what type of objects were detected. The Mask Region-based Convolutional Neural Network, or Mask R-CNN, model is one of the state-of-the-art approaches for object recognition tasks. The Matterport Mask R-CNN […]