Ashutosh singhSentiment analysis using RNNWe have seen how to predict sentiment of text using fully connected neural networks (NN) in this story. Here we will use the LSTM which is…Jun 13, 2019Jun 13, 2019
Ashutosh singhEmbeddings & Word2VecWord-embedding is the collective term for models that map a set of words or phrases to vectors of numerical values. These vectors are…Jun 10, 2019Jun 10, 2019
Ashutosh singhSentiment-analysis: Using Neural Networks to find the correlationWe will accomplish this task in 6 parts.Feb 23, 2019Feb 23, 2019
Ashutosh singh“Bike-Sharing pattern” prediction using neural network developed with NumPyLets help “Spin-Wheels” decide how many bikes to keep, so that they neither loose potential customers nor they waste money on bikes that…Feb 15, 2019Feb 15, 2019
Ashutosh singhSummary: Globally Normalized Transition-Based Neural NetworksA globally normalized transition based neural network is introduced that achieves result better than or comparable to the recurrent neural…Feb 15, 2019Feb 15, 2019
Ashutosh singhWord-embedding: Stepping stone to Natural Language ProcessingIn this article we explore the following two aspects of word-embedding:- 1. Compare co-occurrence representation and word2vec…Feb 1, 2019Feb 1, 2019
Ashutosh singhPrototype selection for Nearest NeighborsThe nearest neighbors classification is one of the most simplest and widely used classification algorithms. However it suffers from…Jan 26, 2019Jan 26, 2019
