Update README.md

Author: hyunjoonbok

README.md

@@ -33,53 +33,60 @@ Below examples include the intense usage of industry-hot frameworks (i.e. Pytorc
 
 ### 2020 Edition
 
+   #### [Few Shot Learning (N-shot) in Pytorch](https://github.com/hyunjoonbok/Python-Projects/blob/master/Pytorch/Prototypical%20Networks%20for%20Few-Shot-Learning.ipynb): 
+   <p>
+   Pytoch implementation of N-shot learning. We look at image classification of word image in many different languages (Omniglot Dataset) to and build the model that determines which of the evaluatiion set classes the sample belongs to.
+	</p>
+   Jun 2, 2020
+
+
    #### [f-AnoGAN in Pytorch](https://github.com/hyunjoonbok/Python-Projects/blob/master/Pytorch/f-AnoGAN%20(Image%20Anomaly%20Detection)%20in%20Pytorch%20.ipynb): 
    <p>
    Concept and codes for the fast unsupervised anomaly detection with generative adversarial networks (GAN), which is widely used for real-time anomaly detection applications. Uses "DCGAN" model, which is State-of-the-Art GAN model.
 	</p>
-   Mar 26, 2020
+   May 27, 2020
 
 
    #### [Transfer Learning in Pytorch by building CIFAR-10 model](https://github.com/hyunjoonbok/Python-Projects/blob/master/Pytorch/Transfer%20Learning%20in%20Pytorch%20by%20building%20CIFAR-10%20model.ipynb): 
    <p>
    Transfer learning explained. Modify a few last layers to fit-in to my own dataset.
 	</p>
-   Mar 26, 2020
+   May 26, 2020
 
 
    #### [Pytorch Training Loop Implementation](https://github.com/hyunjoonbok/Python-Projects/blob/master/Pytorch/Simple%20Pytorch%20Training%20Loop%20Implementation.ipynb): 
    <p>
    A simple walkthrough of training loops and metrics used in learning in Pytorch, follow by a complete example in the last using CIFAR-10 dataset.
 	</p>
-   Mar 25, 2020
+   May 16, 2020
 
 
    #### [Recommender System (Collaborative filtering)](https://github.com/hyunjoonbok/Python-Projects/blob/master/Pytorch/Recommender%20System%20(Collaborative%20filtering).ipynb): 
    <p>
    A complete guide to recommendation system using Collaborative Filtering: Matrix Factorization. Concepts that are used in industry are explained, and compare model/metrics and build prediction algorithm.
 	</p>
-   Mar 25, 2020
+   May 7, 2020
 
 
    #### [Neural Transfer Using PyTorch (VGG19)](https://github.com/hyunjoonbok/Python-Projects/blob/master/Pytorch/Neural%20Transfer%20Using%20PyTorch%20(VGG19).ipynb): 
    <p>
    Style transfer in practice using Pytorch using pretrained VGG19 model.
 	</p>
-   Mar 24, 2020
+   Apr 31, 2020
 
 
    #### [Pytorch Training in Pratice](https://github.com/hyunjoonbok/Python-Projects/blob/master/Pytorch/Basic%20Pytorch%20Concepts%20in%20practice%20by%20building%20MNIST%20CNN%20model%20.ipynb): 
    <p>
    Going through a complete modeling step in Pytorch based on MNIST dataset. Can grasp a general idea of Pytorch concept.
 	</p>
-   Mar 24, 2020
+   Apr 24, 2020
 
 
    #### [Tensorboard usage in Pytorch](https://github.com/hyunjoonbok/Python-Projects/blob/master/Pytorch/(Pytorch)%20VISUALIZING%20MODELS%2C%20DATA%2C%20AND%20TRAINING%20WITH%20TENSORBOARD.ipynb): 
    <p>
    How to use Tensorboard in Jupyter notebook when training a model in Pytorch.
 	</p>
-   Mar 23, 2020
+   Apr 14, 2020
 
 
    #### [Google-play App Review Sentiment Analysis with BERT](https://github.com/hyunjoonbok/Python-Projects/blob/master/Pytorch/(Pytorch)%20Sentiment%20Analysis%20with%20Transformer%20BERT.ipynb):