Applied Deep Learning

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks, in this comprehensive book.

# Neural Networks and Applications # Computer Science # Stochastic Gradient Optimization Techniques # Advanced Neural Network Applications

Umberto Michelucci (2018). "Applied Deep Learning". Apress eBooks. https://doi.org/10.1007/978-1-4842-3790-8