In this project, build and train your mlp Neural Network from scratch to predict the number of bikeshare users on a given day.
In this project, build a pipeline to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed.
Developed one model from scratch and another using transfer learning.
Generate a TV script by defining and training a recurrent neural network. Generate the text and having prime word to one of the following to start the prediction:
- "jerry"
- "elaine"
- "george"
- "kramer"
Define two adversarial networks, a generator and discriminator, and train them until you can generate realistic faces.
In this project, build and deploy a neural network which predicts the sentiment of a user-provided movie review. In addition, you will create a simple web app that uses your deployed model.