If you ever wanted to up your home networking game with backup to Dropbox and secure remote access from everywhere through your own VPN, all based on Docker containers, then check out what Andreas Spiess has done.

In this video, he covers:

  • Install Docker with many containers like Mosquitto, Node-Red, Grafana, influxDB, Postgres, Portainer, and Adminer
  • Increase the live expectancy of your SD card by disabling swapping and by installing log2ram- Automatically backup all valuable data to the cloud, in our case, to Dropbox
  • Setup PiVPN to remotely and securely access our home network from anywhere in the world- Besides that, you will learn a lot of useful things about Docker containers

Links & Code:

Azure 4 Everyone explains how to use the Azure Bot Service and Bot Frameworkto build, test, deploy, and manage intelligent bots all in one place.

Next steps for you after watching the video
1. Azure Bot Service documentation
https://azure.microsoft.com/en-us/services/bot-service/
2. Adding AI to chatbot with LUIS
https://azure.microsoft.com/en-us/services/cognitive-services/language-understanding-intelligent-service/
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-csharp-tutorial-bf-v4

Here’s a great tutorial on using Keras to create a digit recognizer using the classic MNIST set.

An artificial neural network is a mathematical model that converts a set of inputs to a set of outputs through a number of hidden layers. An ANN works with hidden layers, each of which is a transient form associated with a probability. In a typical neural network, each node of a layer takes all nodes of the previous layer as input. A model may have one or more hidden layers.

Siraj Raval just posted this video on defending AI against adversarial attacks

Machine Learning technology isn’t perfect, it’s vulnerable to many different types of attacks! In this episode, I’ll explain 2 common types of attacks and 2 common types of defenses using various code demos from across the Web. There’s some really dope mathematics involved with adversarial attacks, and it was a lot of fun reading about the ‘cat and mouse’ game between new attack techniques, followed by new defense techniques. I encourage anyone new to the field who finds this stuff interesting to learn more about it. I definitely plan to. Let’s look into some math, code, and examples. Enjoy!

Slideshow for this video:
https://colab.research.google.com/drive/19N9VWTukXTPUj9eukeie55XIu3HKR5TT

Demo project:
https://github.com/jaxball/advis.js

 

Siraj Raval explores generative modeling technology.

This innovation is changing the face of the Internet as you read this. It’s now possible to design automated systems that can write novels, act as talking heads in videos, and compose music.

In this episode, Siraj explains how generative modeling works by demoing 3 examples that you can try yourself in your web browser.