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everything about neural network

Estimating the Remaining Useful Life of a Water Pump

In this blog post, we will talk about the benefits of using Remaining Useful Life predictions as a main driver for planning maintenance and detecting wear and tear before problems arise. There is a high potential of both reducing total costs on maintenance and spare parts, but also on increasing the total operational uptime, by using data when planning maintenance intervals.

Diagram showing the predicted and true RUL of the water pump

Using Talos for Feature Hyperparameter Optimization?

When designing the architecture for an artificial neural network, there exist a variety of parameters that can be tuned. It is indeed an art in itself to find the right combination for these parameters to achieve the highest accuracy. In this blog post, we are testing the usage of Talos for hyperparameter optimization of a neural network.

Loss and accuracy diagrams