Mastering Linear State Space: Building a Mamba Neural Network from Scratch

Mastering Linear State Space: Building a Mamba Neural Network from Scratch

Author: Kuang Ji Reviewed by: Los In the field of deep learning, sequence modeling remains a challenging task, typically addressed by models such as LSTMs and Transformers. However, these models have substantial computational costs, leading to significant drawbacks in practical applications. Mamba is a linear time series modeling framework designed to improve the efficiency and … Read more

CNN Replaces RNN? When Sequence Modeling No Longer Needs Recurrent Networks

CNN Replaces RNN? When Sequence Modeling No Longer Needs Recurrent Networks

Selected from offconvex Author:John Miller Translated by Machine Heart Contributors: Qianshu, Zhang Qian, Siyuan In recent years, while Recurrent Neural Networks (RNNs) have been dominant, models like autoregressive Wavenet or Transformers are now replacing RNNs in various sequence modeling tasks. Machine Heart has previously introduced RNNs and CNNs for sequence modeling in a GitHub project, … Read more