Handbook of Deep Learning Models: Volume One: Fundamentals
Handbook of Deep Learning Models: Volume One: Fundamentals
English | 2026 | ISBN: 1041102682 | 314 Pages | PDF (True) | 13 MB
English | 2026 | ISBN: 1041102682 | 314 Pages | PDF (True) | 13 MB
Using Keras, a popular neural network API in Python, this book offers practical examples that reinforce the theoretical concepts discussed. Real-world case studies add relevance by showing how deep learning is applied across various domains. The book covers topics such as layers, activation functions, optimization algorithms, backpropagation, convolutional neural networks (CNNs), data augmentation, and transfer learning – providing a solid foundation for building effective neural network models.