sreenivasarvind

LSTM_hyperparameter_tuning

Used the salesforce awd_lstm state of the art model to tune hyperparameters and compare performance for Language Modeling

ads_minor_project

CNN_image_classification

Trained a CNN model to fit the CIFAR-10 dataset and train using the AlexNet Architecture. The experiment also trains with different Normalization techniques such as Batch Normalization & L2

factualityeval

gene_NER_tagging

Training a CRF model to perform Named Entity Recognition to tag gene data.

ISL-Communicator-using-CNN

Indian Sign Language Communicator which recognises hand gestures and saves speech output.

MLP

Training a multi layer perceptron on a dataset containing mobile prices and features to classify the price of the mobile.

sentiment_analysis_hotel_reviews

Sentiment Analysis of hotel reviews using training data of positive and negative hotel reviews using 5 features: Positive review count, Negative Review Count, Occurrence of word 'no', Pronoun count, exclamation count.