👉 backframe is a concept in machine learning and artificial intelligence, which refers to a layer of neural networks that acts as a bridge between the input data and the output. Backframes are typically used to reduce the number of parameters in deep neural networks by replacing them with simpler, more efficient layers or modules. This helps in achieving better performance and scalability while still maintaining high accuracy on the training data.