๐Ÿ“Š RNNs

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About category

This section covers various topics on Recurrent Neural Networks architectures and their usage.

While Convolutional networks (CNNs) seem to be very intuitive, some people have a hard time understanding the LSTM, GRU, or attention mechanisms. Posts in this category will try to explain at least some of the more complex concepts.

Posts in this category

  • Fifty Shades of Time: Time series & RNNs

    Time series processing is a well-known and extensively researched problem. Moreover - many people naturally understand, what a time series is, and how it is structured. Things start to get complicated once you are about to prepare time-dependent data for modeling with neural networks. Three-dimensional structures are not that easy to imagine initially.