LFN Webinar: Building the future open networks

The LFN Technical Advisory Council (TAC) is made up of technical experts from LF Networking (LFN) members who meet regularly to facilitate communication.

The LFN Technical Advisory Council (TAC) is made up of technical experts from LF Networking (LFN) members who meet regularly to facilitate communication and collaboration among the 8+ technical projects in LFN. The TAC recently completed a comprehensive whitepaper about the LFN available here: https://www.lfnetworking.org/resource.... In this webinar, representatives from the TAC will review the major elements of the paper, including the role of open source in modern network design, how Linux Foundation projects may be used as building blocks for modern networks, project highlights, and an E2E use case. System architects, developers, product and project managers, network operators, system integrators, and more will learn how to approach and incorporate open source and LFN projects into their next-generation project designs and product roadmaps.

neural networks

Neural networks, as their name implies, are computer algorithms modeled after networks of neurons in the human brain. Learn more about neural networks from Algorithmia.

Recurrent neural networks, also known as RNNs, are a class of neural networks that allow previous outputs to be used as inputs while having hidden states.

The purpose of this project is to build and evaluate Recurrent Neural Networks(RNNs) for sentence-level classification tasks. Let's understand about recurrent neural networks for multilabel text classification tasks.

Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems vaguely inspired by the biological neural networks that constitute animal brains.

Convolutional Neural Network: How is it different from the other networks? What’s so unique about CNNs and what does convolution really do? This is a math-free introduction to the wonders of CNNs.