About this document
Overview of Memory-Based Networks by Aditya Narayan Panda is a document available to read on EtoBox.
Memory-Based Networks (MemNets) are neural networks enhanced with memory modules for tasks requiring context and reasoning, applicable in areas like question answering and language modeling. They consist of components such as input representation, memory matrix, read/write mechanisms, and output generation. Types include simple models like RNNs and advanced models with external memory modules like Neural Turing Machines, with LSTMs and GRUs being notable variants that address long-term dependency challenges
- Author
- Aditya Narayan Panda
- Language
- EN