Using React Native to present the Neural Network build with Python.

 

Using Tensor-flow keras to split the image dataset for training the model and then test/validate the model. 

​

Using a methodology called transfer learning I used a pre-trained Neural Network and added some layers on to so the application can predict any type of dataset. 

​

Using Tensor-flow and downloading a data set from an online storage. This application uses over 200 images to predict different flower types using labels: daisy, dandies, roses, sunflowers and tulips

​