How To Add Custom Network And Custom Token

A custom network refers to a network that is created and configured according to specific requirements and specifications, rather than using a pre-existing network architecture. This can include creating a unique architecture, using custom layers or activation functions, and fine-tuning parameters to optimize performance for a specific task or dataset. Custom networks are commonly used in deep learning and can be created using programming frameworks such as TensorFlow, PyTorch, and Keras.