Constructing an Optimized Baseline Convolutional Network

Explore how to build an optimized baseline convolutional network for rare event prediction. Learn to select appropriate Conv1D, Conv2D, and Conv3D layers, configure kernel sizes, filters, padding, and pooling strategies. Understand layer structuring including activation and dense layers for effective feature extraction and model performance.