Deep Learning Nanodegree - SageMaker Deployment and more

Project from Deep Learning Nanodegree - Udacity

Sentiment Analysis on movie reviews

Udacity Deep Learning Nanodegree Projects

PyTorch model deployment of sentiment analysis model in Amazon AWS SageMaker.

Deep Learning Udacity Nanodegree - SageMaker Deployment of a Sentiment Analysis model

Natural Language Processing Project using RNN

Udacity DLND Project

In this project we will construct a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. we will create this model using Amazon's SageMaker service. In addition, we will deploy our model and construct a simple web app which will interact with the deployed model.

In this project i have constructed a recurrent neural network using sagemaker of Amazon aws services

Simple guide to use tf.estimator and deploy to AWS SageMaker (after training with your GPU)

This is the solution for the project -1 (AWS Deployment) that I developed for machine learning Nanodegree. It contains code for deploying a sentiment analysis model from imdb dataset on AWS Sagemaker.

Contains solution for plagiarism detection project (2nd project of ml nanodegree udacity) .Uses two features contaiment and longest common subsequence to identify plagiarism.

Part of Udacity Nanodegree

Build a Sentiment Analysis Model based on recurrent neural network and deploy it vis SageMaker

Deployment of sentiment analysis model using Amazon sagemaker

Udacity Machine Learning Nanodegree Project: Deploy a Sentiment Analysis Model

Code for the FullStack AI Live Coding Series- Part 3 (CellStrat AI Lab)

Udacity Machine learning nanodegree repo