👉 Whiskerlike is a term used in the field of computer science and artificial intelligence to describe a type of neural network architecture that can be trained using a combination of gradient descent and an adaptive learning rate. This architecture is often referred to as "dropout" because it adds a layer of dropout (which randomly drops out neurons during training) after each forward pass, which allows the model to learn from its own data better than if only one neuron were dropped. Whiskerlike networks are particularly effective
