Published inTowards Data ScienceCharacter Level Language ModelsUtilizing Knowledge Distillation in NLP ModelsJan 19, 20202Jan 19, 20202
Published inTowards Data ScienceA Hybrid Neural Machine Translation Model (Luong & Manning):Luong & Manning published a recent paper entitled “Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character…Nov 10, 2019Nov 10, 2019
Published inTowards Data ScienceUnderstanding Neural Machine Translation: Encoder-Decoder ArchitectureThe state of the art for machine translation has utilized Recurrent Neural Networks (RNNs) using an encoder-attention-decoder model. Here…Nov 10, 20191Nov 10, 20191
Published inTowards Data ScienceUnderstanding RNNs, LSTMs and GRUsA recurrent neural network (RNN) is a variation of a basic neural network. RNNs are good for processing sequential data such as natural…Nov 10, 2019Nov 10, 2019
Published inTowards Data ScienceThe TL;DR on Neuralink’s First Press ConferenceA quick summary of Neuralink’s current advances in BMI technologyAug 10, 2019Aug 10, 2019
Published inTowards Data ScienceA Brief Intro to Studying AlgorithmsWhy should we study them, Big O notation, and Karatsuba’s algorithmAug 7, 2019Aug 7, 2019
