Image Classification with Convolutional Neural Network (CNN)

Objective

The general objective is to create a model to predict whether an image has a cup / mug or not.

To achieve the goal, the following steps were necessary:

In the same directory that you just cloned, run the command below, this is time consuming and will download 1.2G of packages
```
podman build --tag cnn-pipenv --squash -f Containerfile
```
Then you just need to expose the current folder (the source code) and the dataset folder (already downloaded and extracted somewhere)
```
podman run -it --rm -v ../DATASETS/your_dataset_path:/dataset \
                    -v .:/root/work cnn-pipenv
```
Now you should be inside the container, you can find the dataset you previously pointed out in / dataset in the current folder (before calling podman run) in / root / work
To enter venv, simply invoke pipenv shell
Okay, now just call the file with desired, example:
```
python cnn_image_classification.py
```