Here’s a great online tech talk about AI and Deep Learning at Amazon.

In this session:

  • Learn about the breadth of AI services available on the AWS Cloud
  • Gain insight into practical use cases for Amazon Lex, Amazon Polly, and Amazon Rekognition
  • Understand why Amazon has selected MXNet as its deep learning framework of choice due its programmability, portability, and performance

Amazon Rekognition is a service that makes it easy to add image analysis to your applications.

Watch this webinar to you learn how to detect objects, scenes, and faces in images.  Rekognition’s can also search and compare faces.  Rekognition also has an API, which enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.

Tensorflow, Google’s framework for machine learning and neural networks , has recently been open-sourced.

With this new tool, deep machine learning transitions from an area of research into the mainstream of software engineering.

In this session, Martin Görner teaches you how to pick the correct neural network type for your problem and how to make it behave.

A PhD or familiarity with differential equations is no longer required. Smile

A new full stack is emerging that includes the traditional web frontend and cloud platform backend, but also includes mobile phones and tablets, API services, desktop, and IoT.

Developers are tasked to build and manage one application that has to manage all of these diverse platforms.

The program environment of choice for the modern full stack developer: Node.js.

This presentation from Build 2017 is delivered by the Node.js Foundation community manager, who talks a bit about the history of Node.js; why it’s becoming the first choice for the full stack developer; and how Node.js functions everywhere from web frontend development to IoT to create a single platform for developers to create the herculean applications of today.