Work developed as part of the Deep Learning course at Nova IMS
Several deep neural network architechtures were developed: custom-built ones, ResNet, DenseNet, and Multi-Input CNN.
Final Report is not very complete due to time constraints but it should be enough guidance to understand the code.
Main Tools: Python, Tensorflow, Keras