Python-bloggers

Backpropagation is a key algorithm used in training fully connected neural networks, also known as feed-forward neural networks. In this algorithm, the network’s output error is propagated backward, layer by layer, to adjust the weights of conne...

Within scikit-learn, pipelines allow for the consolidation of all data preprocessing steps along with a final estimator using a single interface. The pipeline object can then be passed into a grid search routine to identify optimal hyperparameter...

Backpropagation is a key algorithm used in training fully connected neural networks, also known as feed-forward neural networks. In this algorithm, the network’s output error is propagated backward, layer by layer, to adjust the weights of connec...

ahead version 0.10.0 in R, Python and Julia; univariate and multivariate time series forecasting.

It’s been almost a month since the last release of our framework for enterprise Shiny applications, so it’s time for Rhino 1.7! This version comes with new rules for the R linter, more consistent loading behavior, and automatic app reloading during development. Read on for the details! Curious about ...