Abstract: As convolutional neural network contains many redundant parameters, a lot of methods have been developed to compress the network for accelerating inference. Among these, network pruning, ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

Spring Batch provides developers with two separate approaches to batch programming: 1. Process a small batch of records in a single step using a Tasklet. 2. Process a large batch of records in chunks ...

Abstract: We present Sandwich Batch Normalization (SaBN), a frustratingly easy improvement of Batch Normalization (BN) with only a few lines of code changes. SaBN is motivated by addressing the ...

Spiking Neural Networks (SNNs) have recently emerged as an alternative to deep learning owing to sparse, asynchronous and binary event (or spike) driven processing, that can yield huge energy ...

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In this tutorial, I will be talking about how you can batch resize images in GIMP. GIMP is a popular image editing software that you can use to modify or create images. Generally, it lets you edit ...

Batch normalization (BatchNorm) is a widely adopted technique that enables faster and more stable training of deep neural networks. However, despite its pervasiveness, the exact reasons for ...