**Deep Compression: Optimization Techniques for Inference & Efficiency** - Mar 20, 2019.

We explain deep compression for improved inference efficiency, mobile applications, and regularization as technology cozies up to the physical limits of Moore's law.

Tags: Compression, Convolutional Neural Networks, Deep Learning, ICLR, Inference, Optimization, Regularization

**Using AI to Super Compress Images** - Aug 21, 2017.

Neural Network algorithms are showing promising results for different complex problems. Here we discuss how these algorithms are used in image compression.

Tags: AI, Compression, Convolutional Neural Networks, Image Recognition

**Deep Learning Reading Group: SqueezeNet** - Sep 29, 2016.

This paper introduces a small CNN architecture called “SqueezeNet” that achieves AlexNet-level accuracy on ImageNet with 50x fewer parameters.

Tags: Compression, Deep Learning, Lab41, Machine Learning, Neural Networks

**Deep Learning Reading Group: Deep Compression** - Sep 15, 2016.

An concise overview of a paper covering three methods of compressing a neural network in order to reduce the size of the network on disk, improve performance, and decrease run time.

Tags: Academics, Compression, Deep Learning, Lab41, Neural Networks