ECTS: 3
Course description:
Neural network concepts (perceptron, feed-forward networks, cost functions, training and validation). Deep NN architectures (MLPs, Convolutional, Recurrent, etc.). Applications in business and data analytics. Applications in cybersecurity and embedded systems. Lab hours with Tensorflow, Keras, PyTorch.
Course coordinator: Prof. Aggelos Pikrakis