Implementation of DenseNet using Tensorflow 2.0 subclassing API
This implementation is based on CIFAR-10 dataset, which can be acquired by the bash file
bash get_data.sh
Concerning TensorFlow, we will need its version 2.0
pip install tensorflow==2.0.0-rc0
To execute the training phase you will need to run the following command
python main.py