Updating figures & descriptions for Ch 6 #23

Author: suranah

Ch6/README.md

@@ -1,8 +1,15 @@
 # Chatbots
 
-Set of notebooks associated with Chapter 6 of the book.
+## 🔖 Outline
 
-1. **[Intent Detection using CNN,RNN](https://github.com/practical-nlp/practical-nlp/blob/master/Ch6/01_CNN_RNN_ATIS_intents.ipynb)**: Here we demonstrate various CNN and RNN models for the task on Intent Detection on the ATIS dataset.
+To be added
+
+
+## 🗒️ Notebooks
+
+Set of notebooks associated with the chapter. 
+
+1. **[Intent Detection using CNN, RNN](https://github.com/practical-nlp/practical-nlp/blob/master/Ch6/01_CNN_RNN_ATIS_intents.ipynb)**: Here we demonstrate various CNN and RNN models for the task on Intent Detection on the ATIS dataset.
 
 2. **[Intent Detection using BERT](https://github.com/practical-nlp/practical-nlp/blob/master/Ch6/02_BERT_ATIS.ipynb)**: Here we demonstrate how to use pytorch pre-trained BERT to classify the intent in the ATIS dataset. 
 
@@ -12,4 +19,38 @@ Set of notebooks associated with Chapter 6 of the book.
 
 5. **[Slot Filling using BERT](https://github.com/practical-nlp/practical-nlp/blob/master/Ch6/05_BERT_SNIPS.ipynb)**: Here we demonstrate using pytorch pre-trained BERT for the task of slot filling on the SNIPS dataset using the HuggingFace Transformers library.
 
-6. **[Simple Chatbot using Chatfuel](https://github.com/practical-nlp/practical-nlp/blob/master/Ch6/06_chatfuelbot.ipynb)**: Here we demonstrate how to build a simple chatbot which does not have "intelligence" to order pizzas using chatfuel.
+6. **[Simple Chatbot using Chatfuel](https://github.com/practical-nlp/practical-nlp/blob/master/Ch6/06_chatfuelbot.ipynb)**: Here we demonstrate how to build a simple chatbot which does not have "intelligence" to order pizzas using chatfuel.
+
+
+## 🖼️ Figures
+
+Color figures as requested by the readers. 
+
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-1.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-2.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-3.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-4.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-5.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-6.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-7.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-8.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-9.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-10.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-11.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-12.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-13.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-14.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-15.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-16.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-17.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-18.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-19.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-20.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-21.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-22.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-23.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-24.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-25.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-26.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-27.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/6-28.png)