SHREESH GUPTA's repositories
ABSA_LSTM-CRF
This model deals with the fine grained sentiment analysis, more precisely, Aspect Based Sentiment Analysis, with the applications of Neural Networks. Recurrent Neural networks of the type Bi Directional Long Short Term Memory are used with the blend of Conditional Random Fields. This model is on the par with all the state of art techniques which are recently devised or invented in the field of Sentiment Analysis.
CIFAR-10_CLASSIFICATION
Applying concepts of deep learning to classify CIFAR-10 dataset of 10 category of images by using CNN (Keras).
Handwritten-digit-recognition-through-ANN-KERAS-
Applying concepts of deep learning to classify MNIST hand written digit data set by using ANN.
SentimentAnalysis-IMDB-
Using RNN and LSTM to extract sentiments from the IMDB movie review dataset with sentiment attached label of '0' for any negative sentiment for review and '1' for any positive sentiment for review.
CPPExamples
Examples of C++ Programs to help out Beginners
go-concurrency
Go concurrency from https://rbbn.udemy.com/course/concurrency-in-go-golang/learn/lecture/22006546#overview