DeadLetter is an open-source machine learning platform for research, personal and commercial applications.

Here you'll find all the information relevant to understand and deploy a Dead Conversation.

While DeadLetter offers an API (of sorts) it is unmasked. See the sections below to get started.

The Basics

Here we'll guide you through the basics of DeadLetter

-	Understanding DeadCL
-	Inputs & Outputs
-	DeadLetter CL Synax
-	DeadLetter Terminology
-	Publishing

The Components

DeadCL is comprised of the following components;

-	Author Key
-	DeadLetter Libraries
-	DeadLetter Arrays
-	DeadLetter Publishers
-	Trusted Domains

Writing Conversations

Applications on DeadLetter are called Conversations, here we'll discuss how you write one

-	Setting Authorship
-	Structuring & Building Flow

Principles

Once you understand a handful of basic principles writing, maintaining & interpreting Conversations is second Nature.

-	Detecting an object
-	Substituting an object
-	Pulling input(s) & Link(s)
-	Posting output(s)
-	Output addresses

Tutorials

To test your knowledge of DeadCL we've created the following tutorials;

-	Basic Facial Identification
-	Handwritten Number Recognition