 What is a dynamic convolution neural network? Is it a neural network designed for image classification? A recurrent neural network designed for language tasks? Or a neural network that handles variable sequence inputs with max k pooling? Or is it a BERT-like architecture for language modeling? I'll give you a sec. The correct answer is C. It's a neural network that handles variable sequence inputs with max k pooling. Unlike traditional feedforward networks, DCNNs can process varying lake sequences to solve language tasks. Its architecture is dynamic depending on the size of its input. For more information, you can check the video on the channel.