RNN Advanced Recurrent Neural Networks: Bidirectional RNNs This series gives an advanced guide to different recurrent neural networks (RNNs). You will gain an understanding of the networks themselves, their architectures, their applications, and how to bring the models to life using Keras.
RNN Advanced Recurrent Neural Networks: Deep RNNs This series gives an advanced guide to different recurrent neural networks (RNNs). You will gain an understanding of the networks themselves, their architectures, applications, and how to bring the models
Tutorial How to Train A Question-Answering Machine Learning Model (BERT) In this article, I will give a brief overview of BERT based QA models and show you how to train Bio-BERT to answer COVID-19 related questions from research papers.
Gradient Spectrum Labs Collaborates with Paperspace to Boost NLP-Based Toxic Chat Modeling Efforts Spectrum Labs is known for its highly accurate, tunable context-aware models and its workflow tool, Guardian. Spectrum Labs is growing its machine learning team and its customer base rapidly.
Tutorial How To Implement Text Recommendation on Android Using the Levenshtein Distance Typing text on your phone might not be as comfortable as writing on your PC. That's why most applications that take text as an input offer users suggested corrections and
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.
Tutorial 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. ​​
Deep Learning 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.
NLP 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!
Generative Models 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.
