Видавець: K-i-s-publishing

Decentralized Identity Explained. Embrace decentralization for a more secure and empowering digital experience

Rohan Pinto

Deciphering Object-Oriented Programming with C++ [WARNING: NOT FOR USE IN OTHER MATERIAL/SEE CONTRACT]. A practical, in-depth guide to implementing object-oriented design principles to create robust code

Dorothy R. Kirk

Decoding Large Language Models. An exhaustive guide to understanding, implementing, and optimizing LLMs for NLP applications

Irena Cronin

Deep Inside osCommerce: The Cookbook. Ready-to-use recipes to customize and extend your e-commerce website

Monika Mathe, Monika Math?É?íÂ!(C)

Deep Learning and AI Superhero. An in-depth guide to mastering TensorFlow, Keras, PyTorch, and advanced AI techniques

Cuantum Technologies LLC

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

Cher Simon

Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks

Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling

Wei Di, Jianing Wei, Anurag Bhardwaj

Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python

Dr. Pablo Rivas

Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras

Rajalingappaa Shanmugamani

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

Upendra Kumar Devisetty

Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks

Karthiek Reddy Bokka, Shubhangi Hora , Tanuj...

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 Quick Reference. Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Mike Bernico

Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning

Mark Ryan

Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data

Dipayan Dev

Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python

Antonio Gulli, Sujit Pal

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework

Willem Meints

Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet

Andrés P. Torres, Paul Newman

Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch

Vishnu Subramanian

Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python

Kunal Sawarkar, Dheeraj Arremsetty

Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python

David Julian