Deep Learning

Catalog description

Introduction to neural networks. Feed- forward multilayer neural networks. Convolutional neural networks, autoencoders, recurrent neural networks and long short-term memory models. Practical strategies to improve the performance of deep models, such as regularization, data augmentation, pre-training, dropout, multi- task learning and advanced optimization methods. Applications of deep learning.