Project: Keras Convnet CIFAR-100 fruits

This repository contains a deep convolutional neural network to classify CIFAR-100 fruits-data. The network was created with the tensorflow high-level API keras in python 3.6.7.

Getting Started

These instructions will help you to run the script on your maschine. First of all you need python3 installed, as well as following packages:

Keras==2.2.4
numpy==1.15.1
scikit_learn==0.20.2

Install them via pip3 install -d requirements.txt.

Installing

Before running the script clone the repository to your desired directory:

cd /path/to/desired/directory
git clone git@github.com:Schlagoo/keras_convnet_cifar100_fruits.git

You should now be able to run the script from the terminal (linux) via:

(Make shure you the file is executable: sudo chmod +x keras_convnet_cifar100.py!)

./keras_convnet_cifar100.py

Built with

• Python 3.6.8 - Programming language
• Keras - Neural network API
• Numpy - Scientific computing library
• Scikit-Learn - Maschine Learning library

Author

• Pascal Schlaak - Student - Schlagoo