Base

Hey guys 🙋🏼‍♀️

The layers of a base neural network include:
1.Input Layer: Receives the initial data.
2.Hidden Layers: Perform computations and feature extraction. Common types include: 
-Dense Layers: Fully connected neurons.
-Convolutional Layers: Extract spatial features, used in image processing.
-Recurrent Layers: Handle sequence data, used in time series or text.
3.Output Layer: Produces the final output, with neurons corresponding to the number of classes in classification tasks.

Each layer transforms the data to improve the network's accuracy during training.