Here we will find some data to see what the state of renewable energy production is within Europe.
The data is collected from:
In this post I will attempt to go over the steps between a simple linear regression
towards a non-linear probabilistic model built with a neural network.
Here we look at fitting a normal distribution to some data using Tensorflow Probability.
We compare the performance of adding a batch normalisation layer to a convolution neural network (CNN). For this we use the results from a previous post on creating a CNN for fashion MNIST data:
In this post we will build a Convolution Neural Network (CNN) in order to classify images from the fashion MNIST dataset. CNNs are commonly used with image data to efficiently exploit spatial relationships between nearby pixels.