Update README.md

README.md

@@ -9,18 +9,21 @@ The textbook: [Neural Network Methods in Natural Language Processing by Yoav Gol
 A short overview of the most popular architectures in the deep learning. 
 A brief introduction into the [keras](keras.io) framework. 
 Examples of models for sentiment analysis on the IMDB movie review dataset. 
-The [Colab notebook](https://colab.research.google.com/notebook#fileId=1KGy9Hm3y4asE6ohg3QD77w2nZV3V9_08).
+The [Colab notebook](https://colab.research.google.com/notebook#fileId=1KGy9Hm3y4asE6ohg3QD77w2nZV3V9_08). 
+[Additional materials and deadlines](https://github.com/DanAnastasyev/DeepNLP-Course/tree/master/Lecture%201%20-%20Introduction).
 
 ### Lecture 2: *Fully-Connected Neural Networks and Word2Vec Models* 
 An introduction into the [PyTorch](pytorch.org) framework. 
 Example of a simple bag-of-words model for the sentiment analysis. 
 Examples of Word2Vec models: CBOW, Skip-Gram and Negative Sampling. 
-The [Colab notebook](https://colab.research.google.com/drive/15tg6jTt1F0oR5PzFlcZNBnpPiu4se1m3).
+The [Colab notebook](https://colab.research.google.com/drive/15tg6jTt1F0oR5PzFlcZNBnpPiu4se1m3). 
+[Additional materials and deadlines](https://github.com/DanAnastasyev/DeepNLP-Course/tree/master/Lecture%202%20-%20PyTorch%20%26%20Word2Vec).
 
 ### Lecture 3: *Recurrent Neural Networks, part 1.* 
 A simple implementation of the vanilla RNN and an illustration of the vanishing gradient problem. 
 Examples of character-level LSTMs for:
 - Text classification: language prediction by the surname's spelling;
 - Conditional text generation: generation of the surname given language. 
 
-The [Colab notebook](https://colab.research.google.com/drive/1mLUuEcEBAqw8WwlezEgkXhjeulOAE5fW).
+The [Colab notebook](https://colab.research.google.com/drive/1mLUuEcEBAqw8WwlezEgkXhjeulOAE5fW). 
+[Additional materials and deadlines](https://github.com/DanAnastasyev/DeepNLP-Course/tree/master/Lecture%203%20-%20RNNs).