Nicholas AsquithinTowards Data ScienceCharacter Level Language ModelsUtilizing Knowledge Distillation in NLP Models6 min read·Jan 19, 2020--2--2
Nicholas AsquithinTowards 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…3 min read·Nov 10, 2019----
Nicholas AsquithinTowards 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…3 min read·Nov 10, 2019--1--1
Nicholas AsquithinTowards 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…4 min read·Nov 10, 2019----
Nicholas AsquithinTowards Data ScienceThe TL;DR on Neuralink’s First Press ConferenceA quick summary of Neuralink’s current advances in BMI technology4 min read·Aug 10, 2019----
Nicholas AsquithinTowards Data ScienceA Brief Intro to Studying AlgorithmsWhy should we study them, Big O notation, and Karatsuba’s algorithm5 min read·Aug 7, 2019----