Computational Methods for Deep Learning
Theoretic, Practice and Applications
- 152 páginas
- 6 horas de lectura
Focusing on the integration of deep learning, machine learning, and artificial neural networks, this textbook offers a progressive approach to understanding machine intelligence. It emphasizes knowledge transfer while incorporating graphical theory, mathematical models, and algorithmic implementation. Additionally, the book covers essential topics such as dataset preparation, programming, and the analysis and evaluation of results, making it a comprehensive resource for those looking to deepen their understanding of these advanced technologies.
