Model compression reduces the size of a neural network (NN) without compromising accuracy. This size reduction is important because bigger NNs are difficult to deploy on resource-constrained devices. In this article, we will explore the benefits and drawbacks of 4 popular model compression techniques. A brief history of model compression In recent years, machine learning … Continue reading 4 Popular Model Compression Techniques Explained