Update README

README.md

@@ -1,6 +1,6 @@
 <h1 align="center"> Deep Autoregressive Models </h1>
 <p align="center">
-<img height="250" src="https://raw.githubusercontent.com/Mind-the-Pineapple/Autoregressive-models/master/1%20-%20Autoregressive%20Models%20-%20PixelCNN/figures/Figure6_reduced.png"> 
+<img height="250" src="https://raw.githubusercontent.com/Mind-the-Pineapple/Autoregressive-models/master/1%20-%20Autoregressive%20Models%20-%20PixelCNN/figures/Figure6_reduced.png">
 </p>
 
 [![MIT license](http://img.shields.io/badge/license-MIT-brightgreen.svg)](https://github.com/Warvito/vq-vae/blob/master/LICENSE)
@@ -26,6 +26,7 @@ Then, install requirements
     pip3 install --upgrade pip
     pip3 install -r requirements.txt
 
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------
 <h1 align="center"> 1. Autoregressive Models — PixelCNN </h1>
 <img align="right" width="500x" src="https://raw.githubusercontent.com/Mind-the-Pineapple/Autoregressive-models/master/1%20-%20Autoregressive%20Models%20-%20PixelCNN/figures/Figure5_Architecture_reduced.png">
 
@@ -35,6 +36,7 @@ Creating digits with deep generative models!
 - [Code](https://github.com/Mind-the-Pineapple/Autoregressive-models/blob/master/1%20-%20Autoregressive%20Models%20-%20PixelCNN/pixelCNN.py)
 - [Paper -> Pixel Recurrent Neural Networks](https://arxiv.org/abs/1601.06759)
 
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------
 
 <h1 align="center"> 2. Modelling Coloured Images </h1>
 <img align="right" width="500x" src="https://raw.githubusercontent.com/Mind-the-Pineapple/Autoregressive-models/master/2%20-%20Modelling%20data%20with%20multiple%20channels/figures/PixelcnnRGB.png">
@@ -43,4 +45,18 @@ Extending the model to the full colour spectrum
 - [PixelCNN - RGB Medium Story](https://blog.usejournal.com/modelling-coloured-images-acd0ebde0102)
 - [Google Colab](https://colab.research.google.com/gist/PedroFerreiradaCosta/a770317efa23f36b3c5009a9f21169f3/pixelcnn-rgb.ipynb?authuser=1#scrollTo=deJgSHmOBGfk)
 - [Code](https://github.com/Mind-the-Pineapple/Autoregressive-models/blob/master/2%20-%20Modelling%20data%20with%20multiple%20channels/pixelCNN_RGB.py)
-- [Paper -> Pixel Recurrent Neural Networks](https://arxiv.org/abs/1601.06759)
+- [Paper -> Pixel Recurrddent Neural Networks](https://arxiv.org/abs/1601.06759)
+
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+<h1 align="center"> 3 -  PixelCNN's Blind Spot and how to fix it </h1>
+<img align="right" width="500x" src="https://raw.githubusercontent.com/Mind-the-Pineapple/Autoregressive-models/master/3%20-%20PixelCNNs%20Blind%20spot%20and%20Gated%20PixelCNNs/figures/results.png">
+
+Creating digits with deep generative models!
+- [PixelCNN Medium Story](https://towardsdatascience.com/pixelcnns-blind-spot-84e19a3797b9)
+- [Google Colab](https://colab.research.google.com/github/Mind-the-Pineapple/Autoregressive-models/blob/master/3%20-%20PixelCNNs%20Blind%20spot%20and%20Gated%20PixelCNNs/PixelCNN_Blind_spot.ipynb)
+- [Code](https://github.com/Mind-the-Pineapple/Autoregressive-models/blob/master/3%20-%20PixelCNNs%20Blind%20spot%20and%20Gated%20PixelCNNs/pixelcnn_blind_spot.py)
+
+- [Paper -> Gated PixelCNNs](https://arxiv.org/abs/1606.05328)
+
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------