The repository contains 4 Jupyter notebooks for the 4 experiments performed. All experimentsare performed using the Fruits 360 dataset which is available at https://github.com/Horea94/Fruit-Images-Dataset.
The following are the 4 Jupyter notebooks and a brief description of their contents:
This notebook contains the first experiment where a self-designed 14-layer convolutional neural net is used for fruit image classification.
This notebook contains the second experiment where a CNN based on transfer learning using Inception-v3 model is exploited for fruit image classification.
This notebook contains the third experiment where a CNN based on transfer learning using VGG16 model is exploited for fruit image classification.
This notebook contains the fourth experiment where a CNN based on fine tuning using VGG16 model is exploited for fruit image classification.