Classification of flowers from Kaggle Dataset using Convolutional Neural Network (CNN)

Download DATASET: https://www.kaggle.com/alxmamaev/flowers-recognition
After downloading the dataset, run Dataset_create.py to create .npy file.
We feed this created .npy file into the CNN and train the model. The trained model is then used for the classification of flowers {tulip,rose,sunflower,dandelion,daisy}.

SOFTWARE REQUIREMENTS:
Tensorflow software library with GPU support.
Installation: https://www.tensorflow.org/install/