Purpose of this project is to demonstrate how to build and train a Deep Neural Network using Transfer Learning Dataset used is Cifar-10 which contains images from 10 different classes (https://www.cs.toronto.edu/~kriz/cifar.html) Architecture used is ResNet-50 (https://keras.io/api/applications/) Image Source Project folder includes Readme.md (this file) Google colab notebook for building, training and testing a ResNet50 architecture using transfer learning on the CIFAR-10 dataset. Misc CIFAR-10 overview image Programming language and Libraries used Python programming language Deep learning libraries tensorflow 2.x and Keras API Python libraries including numpy, etc
