Neural

How Convolutional Neural Networks Learn Musical Similarity

audio embeddings for music advice? Streaming platforms (Spotify, Apple Music, etc.) must have the power to recommend recent songs to their users. The higher the recommendations, the higher the listening experience. There are various ways...

Tips on how to Construct a Neural Machine Translation System for a Low-Resource Language

of the AI boom, the pace of technological iteration has reached an unprecedented level. Previous obstacles now appear to have viable solutions. This text serves as an “NMT 101” guide. While introducing our...

Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting

in supply-chain planning has traditionally been treated as a time-series problem. Each SKU is modeled independently. A rolling time window (say, last 14 days) is used to predict tomorrow’s sales. Seasonality is captured, promotions are added,...

Teaching a Neural Network the Mandelbrot Set

Introduction set is probably the most beautiful mathematical objects ever discovered, a fractal so intricate that regardless of how much you zoom in, you retain finding infinite detail. But what if we asked a...

Guided learning lets “untrainable” neural networks realize their potential

Even networks long considered “untrainable” can learn effectively with a little bit...

The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel

Neural Network Regressor, we now move to the classifier version. From a mathematical viewpoint, the 2 models are very similar. In truth, they differ mainly by the interpretation of the output and the selection...

The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel

are sometimes presented as black boxes. Layers, activations, gradients, backpropagation… it may feel overwhelming, especially when every thing is hidden behind model.fit(). We are going to construct a neural network regressor from scratch using Excel....

Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Mix Them.

computers and Artificial Intelligence, we had established institutions designed to reason systematically about human behavior — the court. The legal system is one in all humanity’s oldest reasoning engines, where facts and evidence...

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