👉 A ganoid is a type of neural network architecture that is used for generative modeling in deep learning. It was developed by Prof. David Silver from the University of California, Berkeley. Ganoids are inspired by the structure and function of neurons in the brain, where each neuron generates its own output based on its input. This approach allows for more complex and flexible architectures than traditional feedforward neural networks, as it can capture not only the direct relationship between inputs and outputs but also the interdependence among