NLP
Generating Text Summaries Using GPT-2 on PyTorch with Minimal Training
In this article I will discuss an efficient abstractive text summarization approach using GPT-2 on PyTorch with the CNN/Daily Mail dataset.
Neural Machine Translation with TensorFlow
Learn how to build build a recurrent neural network to do French to English translation using Google's open-source machine learning library, TensorFlow.
6 Interesting Deep Learning Applications for NLP
Read on to discover deep learning methods are being applied in the field of natural language processing, achieving state-of-the-art results for most language problems.
Fake Bananas: Detecting Fake News at HackMIT on Paperspace
This year at HackMIT 2017 our team leveraged Paperspace's server infrastructure to build a machine learning model that accurately discerns between fake and legitimate news by comparing the given article or user phrase to known reputable and unreputable news sources. Check out how we did it below!
By
George
Recurrent Language Models with RNNs
In this article, we will first try to understand the basics of language models, what Recurrent Neural Networks are and how can we use them to solve the problem of language modeling.
By
Felipe Ducau
