The basics of Networking. HTTP, TCP...

In this free preview promo video I show you what it's like to follow through the course, filming myself reading through the lessons.

This video is a preview of the lessons included in the JavaScript Full-Stack Bootcamp. Note that the bootcamp is not video based, but instead based on text lessons and sample projects. In this free preview promo video I show you what it's like to follow through the course, filming myself reading through the lessons.

https://thejsbootcamp.com Full Bootcamp Launching on May 25

00:00 Introduction 00:09 Networking Basics 03:24 RFCs 08:44 IP, Internet Protocol 11:14 IP Address 14:08 DNS Domain Name System 16:45 The TCP Protocol 20:45 The UDP Protocol 23:29 HTTP 37:06 HTTPS 41:22 HTTP/2 45:11 Websockets

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.