Abstract: Deep neural networks (DNNs) and especially convolutional neural networks (CNNs) have revolutionized the way we approach the analysis of large quantities of data. However, the largely ad hoc ...

Your browser does not support the audio element. In my last tutorial, you created a complex convolutional neural network from a pre-trained inception v3 model. In ...

Abstract: Iterative learning control (ILC) is an effective control strategy for improving control performance in stable or stabilizable systems that track a repetitive trajectory in time. The ILC ...

You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers the definition and computation of 1D and 2D convolution, as ...

Backpropagation in CNN is one of the very difficult concept to understand. And I have seen very few people actually producing content on this topic. So here in this video, we will understand ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...

This tutorial shows how to use Keras library to build deep neural network for ultrasound image nerve segmentation. More info on this Kaggle competition can be found ...

The team over at Waves must be feeling particularly generous this week, as the software developer announces that it's releasing a bundle of seven free plugins that features a convolution reverb, FM ...