Merge pull request #97 from jlooper/main

edits for local creation of pdf

.gitignore

@@ -3,6 +3,12 @@
 ##
 ## Get latest from https://github.com/github/gitignore/blob/master/VisualStudio.gitignore
 
+# ignore all pdf creation files
+package.json
+package-lock.json
+docsifytopdf.js
+docs/_sidebar.md
+
 # User-specific files
 *.rsuser
 *.suo

README.md

@@ -152,7 +152,7 @@ By ensuring that the content aligns with projects, the process is made more enga
 
 ## Offline access
 
-You can run this documentation offline by using [Docsify](https://docsify.js.org/#/). Fork this repo, [install Docsify](https://docsify.js.org/#/quickstart) on your local machine, and then in the `etc/docsify` folder of this repo, type `docsify serve`. The website will be served on port 3000 on your localhost: `localhost:3000`.
+You can run this documentation offline by using [Docsify](https://docsify.js.org/#/). Fork this repo, [install Docsify](https://docsify.js.org/#/quickstart) on your local machine, and then in the `etc/docsify` folder of this repo, type `docsify serve`. The website will be served on port 3000 on your localhost: `localhost:3000`. A pdf of the curriculum is available [at this link](/etc/pdf/readme.pdf).
 
 ## Help Wanted!
 

etc/docsify-to-pdf/docs/_sidebar.md

@@ -1,20 +0,0 @@
-- Introduction
-  - [Introduction to AI](../../../lessons/1-Intro/README.md)
-  - [Knowledge Representation and Expert Systems](../../../lessons/2-Symbolic/README.md)
-  - [Neural Networks - Perceptron](../../../lessons/3-NeuralNetworks/03-Perceptron/README.md)
-  - [Neural Networks - Your Own Framework](../../../lessons/3-NeuralNetworks/04-OwnFramework/README.md)
-  - [Neural Networks - Perceptron](../../../lessons/3-NeuralNetworks/05-Frameworks/README.md)
-  - [Computer Vision - Convolutional Neural Networks](../../../lessons/4-ComputerVision/07-ConvNets/README.md)
-  - [Computer Vision - Transfer Learning](../../../lessons/4-ComputerVision/08-TransferLearning/README.md)
-  - [Computer Vision - Autoencoders](../../../lessons/4-ComputerVision/09-Autoencoders/README.md)
-  - [Computer Vision - GANs](../../../lessons/4-ComputerVision/10-GANs/README.md)
-  - [Computer Vision - Segmentation](../../../lessons/4-ComputerVision/12-Segmentation/README.md)
-  - [NLP - Text Representation](../../../lessons/5-NLP/13-TextRep/README.md)
-  - [NLP - Embeddings](../../../lessons/5-NLP/14-Embeddings/README.md)
-  - [NLP - LanguageModeling](../../../lessons/5-NLP/15-LanguageModeling/README.md)
-  - [NLP - RNNs](../../../lessons/5-NLP/16-RNN/README.md)
-  - [NLP - Generative Networks](../../../lessons/5-NLP/17-GenerativeNetworks/README.md)
-  - [NLP - Transformers](../../../lessons/5-NLP/18-Transformers/README.md)
-  - [Other - Genetic Algorithms](../../../lessons/6-Other/21-GeneticAlgorithms/README.md)
-  - [Other - Multiagent Systems](../../../lessons/6-Other/23-MultiagentSystems/README.md)
-  - [Ethics](../../../lessons/7-Ethics/README.md)

etc/docsify-to-pdf/docsifytopdf.js

@@ -1,9 +0,0 @@
-module.exports = {
-	contents: ['etc/docsify-to-pdf/docs/_sidebar.md'], // array of "table of contents" files path
-	pathToPublic: 'etc/docsify-to-pdf/pdf/readme.pdf', // path where pdf will stored
-	pdfOptions: {
-		margin: { top: '100px', bottom: '100px' }
-	}, // reference: https://github.com/GoogleChrome/puppeteer/blob/master/docs/api.md#pagepdfoptions
-	removeTemp: true, // remove generated .md and .html or not
-	emulateMedia: 'print', // mediaType, emulating by puppeteer for rendering pdf, 'print' by default (reference: https://github.com/GoogleChrome/puppeteer/blob/master/docs/api.md#pageemulatemediamediatype)
-};

etc/docsify-to-pdf/package.json

@@ -1,29 +0,0 @@
-{
-	"name": "ds-for-beginners",
-	"version": "1.0.0",
-	"description": "AI for Beginners - A Curriculum",
-	"main": "index.js",
-	"scripts": {
-		"convert": "node_modules/.bin/docsify-to-pdf"
-	},
-	"repository": {
-		"type": "git",
-		"url": "git+https://github.com/microsoft/AI-For-Beginners.git"
-	},
-	"keywords": [
-		"machine",
-		"learning",
-		"ml",
-		"ai",
-		"curriculum"
-	],
-	"author": "Jen Looper and team",
-	"license": "MIT",
-	"bugs": {
-		"url": "https://github.com/microsoft/AI-For-Beginners/issues"
-	},
-	"homepage": "https://github.com/microsoft/AI-For-Beginners#readme",
-	"devDependencies": {
-		"docsify-to-pdf": "0.0.5"
-	}
-}

lessons/4-ComputerVision/11-ObjectDetection/README.md

@@ -120,7 +120,7 @@ This algorithm is even faster than Faster R-CNN. The main idea is the following:
 1. Features are processed by **Position-Sensitive Score Map**. Each object from $C$ classes is divided by $k\times k$ regions, and we are training to predict parts of objects.
 1. For each part from $k\times k$ regions all networks vote for object classes, and the object class with maximum vote is selected. 
 
-![](https://cdn-images-1.medium.com/max/840/1*JFtFIzpDhb3KsN1jran6yA.png)
+![r-fcn image](images/r-fcn.png)
 
 > Image from [official paper](https://arxiv.org/abs/1605.06409)