Rishabh Srivastava
In this project, I have constructed a recurrent neural network to determine the sentiment of a movie review using the IMDB data set. I have created this model using Amazon's SageMaker service. Also, I have deployed my model and constructed a simple web app which will interact with the deployed model. The prediction model is implemented in PyTorch and deployed to AWS SageMaker. To serve it on a web page, I call the SageMaker model from a AWS Lambda service, which can be accessed via API Gateway.
This project was about to combining data from the OpenWeatherMap API and client side (browser) HTML forms to create a web app that records a weather journal for users. This project requires you to create an asynchronous web app that uses Web API and user data to dynamically update the UI for a Weather Journal App.
Designed and trained a convolutional neural network to analyze images of dogs and correctly identify their breeds. Used transfer learning and well-known architectures to improve this model. This is excellent preparation for more advanced applications.
Built a recurrent neural network on TensorFlow to process text. Used to generate new episodes of your favorite TV show, based on old scripts.
Built a pair of multi-layer neural networks and make them compete against each other in order to generate new, realistic faces. Tried training them on a set of celebrity faces, and see what new faces the computer comes out with.
➿ 💡 Built and trained neural networks from scratch to predict the number of bike-share users on a given day.something to be added to this repository.
Publication: Vim Cheat Sheet
In this article, we will see how to use vim like a pro.