# Object_Recognizer Build a fruit recognizer

Google Colab and GPUs.
Utilizing the Resources for solving High level Computational Problems where Datasets consist of Images, Text, and Videos.
To Set up the environment for Solving Deep Learning Problems.
How to use Tensorflow to build Convolutional Neural Networks.
Created a Model that can detect different types of fruits and vegetables from their images.

We have trained multiple models and compared their result to select the best performing model. Two phase training on our models, where we have frozen a few layers before our model starts overfitting. Evaluated our model on Test set and applied real time prediction.

Dependencies: python3 tensorflow keras matplotlib pathlib sklearn