TidyX 58: Tensorflow Neural Network for pitchf/x classification

In our sixth model of the pitchf/x classification series, Ellis Hughes and I build a neural network using {tensorflow}. We then go on and discuss whether the steak is worth the sizzle as far as using a model as complex as a neural network versus one of the more simpler models that we covered in prior episodes in this series.

To watch our screen cast, CLICK HERE.

To access our code, CLICK HERE.

For previous episodes in this series:

  1. Episode 53: Pitch Classification & EDA
  2. Episode 54: KNN & UMAP
  3. Episode 55: Decision Trees, Random Forest, & Optimization
  4. Episode 56: XGBoost
  5. Episode 57: Naive Bayes Classifier