We train many different ML models with different Parameters on the rotten tomatoes dataset to classify reviews into 5 classes: negative, somewhat negative, neutral, somewhat positive, positive.
This project can be used to remove noise from any image. It has been implemented using TensorFlow in Python.
Classifies traffic signs into 43 classes using the GTSRB dataset. The project can be used in self driving cars. The project has been implemented using TensorFlow and Keras on Python.
We train a LSTM network to perform English to French Translations. The project has been implemented using TensorFlow and Keras on Python.