How to Use Transfer Learning for Image Classification using Keras in Python

To run this:

pip3 install -r requirements.txt
To train the model (already trained and the optimal weights are in results folder):
```
python train.py
```
This will load the flower dataset, construct the MobileNetV2 model with its weights and starts training.
86% accuracy was achieved on 5 classes of flowers which are daisy, dandelion, roses, sunflowers and tulips.
To evaluate the model as well as visualizing different flowers and its corresponding predictions:
```
python test.py
```
This will Outputs:
```
23/23 [==============================] - 6s 264ms/step
Val loss: 0.5659930361524
Val Accuracy: 0.8166894659134987
```
and plots: Check the tutorial for more information.

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