myst
3:07Neural Networks Demystified [Part 1: Data and Architecture]
838K views • 12 years ago
Welch Labs
The first of a short series by Welch Labs on building a complete neural network in Python. It introduces the data and the architecture of a simple network before later parts cover forward propagation, gradient descent, and backpropagation.
20:25#112 LoRa / LoRaWAN De-Mystified / Tutorial
1.1M views • 9 years ago
Andreas Spiess
Andreas Spiess explains the basic principles of LoRa and LoRaWAN, their pros and cons, link budget and bandwidth. He shows his own gateway and client sending a message to The Things Network.