Mathematical introduction to deep learning: methods, implementations, and theory
This book aims to provide an introduction to the topic of deep learning algorithms. We review
essential components of deep learning algorithms in full mathematical detail including …
essential components of deep learning algorithms in full mathematical detail including …
Convergence to good non-optimal critical points in the training of neural networks: Gradient descent optimization with one random initialization overcomes all bad non …
Gradient descent (GD) methods for the training of artificial neural networks (ANNs) belong
nowadays to the most heavily employed computational schemes in the digital world. Despite …
nowadays to the most heavily employed computational schemes in the digital world. Despite …