Mystery of Adversarial Learning

This post will provide a brief introduction to adversarial machine learning where we introduce to different attacks and defense methods and give the examples of real-world scenarios.

Power of Transfer Learning in NLP

This post will provide a brief introduction to various approaches like CoVe, ELMo, BERT, GPT and GPT-2 and also, compare the results of these approaches with traditional recurrent model like LSTM and GRU.

Federated Learning and Privacy

This post will provide brief introduction to Federated Learning and Privacy.

Force of LSTM and GRU

This post will provide a brief introduction to world of NLP through embeddings, vectorization and steps in processing text. We will also walk-through some of the very popular architecture like LSTM, GRU and Bidirectional-LSTM and demonstrate it's power through the application of sentiment analysis of IMDB dataset.