In this video, the basics of hidden layers is discussed, highlighting their importance as the intermediate layers between input and output. The exercises exhibit how they process and transform data through weighted connections and activation functions, enabling the network to capture complex patterns and relationships. The video further analyzes the advantages and limitations of adding more hidden layers within a network.
The workbook pdf-
