The idea of ResNets, HighwayNets, and DenseNets revolves around addressing the vanishing gradient problem. If you are not familiar with that term, or would like to refresh your definition, check out the first link below. Also check out the next topic which is General Adversarial Networks. Continue reading “ResNets, HighwayNets, DenseNets and GANs”
More on CNNs and Intro to Recurrent Neural Networks
By now you’ve probably familiarized yourself with the convolutional neural network that won the ImageNet challenge in 2012. To see how it has evolved, check out the first paper that I’ve linked below, where researchers from google expanded the typical CNN architecture and created what they called “Inception”. Continue reading “More on CNNs and Intro to Recurrent Neural Networks”
Convolutional Neural Networks and Deconvolutional Networks
Understand the idea of convolutional neural networks by reading the paper and parts 1 and 2 of the blog. Read about deconvolutional networks and its applications. Continue reading “Convolutional Neural Networks and Deconvolutional Networks”
Learn more about APTLY
The APTLY lab continuously explores the latest artificial neural network architectures in audio processing, transcription and generation. Each week, we take a look at a couple of academic papers/blogs and discuss about its contribution and how it affects the field of audio. Continue reading “Learn more about APTLY”
Become a Volunteer @ LaSSoftE
For more information, check out the APTLY page here.