Sztuczna inteligencja

Deep Learning and XAI Techniques for Anomaly Detection. Integrate the theory and practice of deep anomaly explainability

Cher Simon

Deep Learning for Genomics. Data-driven approaches for genomics applications in life sciences and biotechnology

Upendra Kumar Devisetty

Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Vitor Cerqueira, Luís Roque

Deep Learning from the Basics. Python and Deep Learning: Theory and Implementation

Koki Saitoh, Shigeo Yushita

Deep Learning: Practical Neural Networks with Java. Build and run intelligent applications by leveraging key Java machine learning libraries

Alan M. F. Souza, Fabio M. Soares,...

Deep Learning with C++. Design and deploy neural networks using CUDA for high-performance AI in C++

Bill Chen, Vikash Gupta

DeepSeek in Practice. From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM

Andy Peng, Alex Strick van Linschoten, Duarte...

Developing AI Applications. An Introduction

Rheinwerk Publishing, Inc, Metin Karatas