This post follows a similar one I did a while back for Tensorflow Probability:
Linear regression to non linear probabilistic neural network
Is this post we look at season data to compare the playing time of LeBron to other players.
Neural prophet is a time series forecasting library very similar to the Facebook prophet.
Neural prophet runs using pytorch, rather than fbprophet and it’s use of pystan.
It has some potential advantages by using stochastic gradient descent.
This brief post is exploring overfitting neural networks. It comes from reading the paper:
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes
Here we will find some data to see what the state of renewable energy production is within Europe.
The data is collected from: