Using Deep Compression on PyTorch Models for Autonomous Systems
2022 30TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU（2022）
Key words
PyTorch models,autonomous systems,artificial neural networks,low-cost embedded systems,microcontrollers,MCUs,memory capacity,deep learning algorithms,model compression,deep compression,LeNet-5 model,fully connected layers,convolutional layers,sparse matrices,data structures
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined