Networks

Structure and Relationships: Graph Neural Networks and a Pytorch Implementation

Let’s implement a regression example where the aim is to coach a network to predict the worth of a node given the worth of all other nodes i.e. each node has a single feature...

Deep neural networks show promise as models of human hearing

Computational models that mimic the structure and performance of the human auditory...

Optimisation Algorithms: Neural Networks 101

How you can improve training beyond the “vanilla” gradient descent algorithmIn my last post, we discussed how you possibly can improve the performance of neural networks through hyperparameter tuning:This can be a process whereby...

Hyperparameter Tuning: Neural Networks 101

How you possibly can improve the “learning” and “training” of neural networks through tuning hyperparametersEach hidden-layer neuron carries out the next computation:

Well Log Measurement Prediction Using Neural Networks with Keras

An example of predicting bulk density (RHOB) with Keras and illustrating impacts of normalisation on prediction results11 min read·16 hours agoLarge amounts of information are acquired each day from wells around the globe. Nevertheless,...

Neural Networks Achieve Human-Like Language Generalization

Within the ever-evolving world of artificial intelligence (AI), scientists have recently heralded a big milestone. They've crafted a neural network that exhibits a human-like proficiency in language generalization. This groundbreaking development isn't only a...

Roman Numeral Evaluation with Graph Neural Networks

An Introductory GuideIn this text, I would love to elucidate my journey in developing a model for automatic harmonic evaluation. Personally, I'm curious about understanding music deeply. Questions like: “Why are things structured the...

Simulation 106: Modeling Information Diffusion and Social Contagion with Networks

A graph-based approach to modeling the spread of knowledge through social networksSocial media has completely revolutionized the data landscape. We're more connected to every aside from now we have every been in human history....

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