Programowanie

DDD. Kompendium wiedzy

Vaughn Vernon

Debugging Teams. Przez współpracę do lepszej produktywności

Brian W. Fitzpatrick, Ben Collins-Sussman

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

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

Cuantum Technologies LLC

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

Ahmed Menshawy

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

Karthiek Reddy Bokka, Shubhangi Hora , Tanuj...

Deep learning i modelowanie generatywne. Jak nauczyć komputer malowania, pisania, komponowania i grania

David Foster

Deep Learning. Praca z językiem Python i biblioteką Keras

Francois Chollet

Deep Learning. Praca z językiem R i biblioteką Keras

Francois Chollet, J. J. Allaire

Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe

Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter...

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

Bill Chen, Vikash Gupta

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

Mark Ryan

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 Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python

Kunal Sawarkar, Dheeraj Arremsetty

Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition

Antonio Gulli, Dr. Amita Kapoor, Sujit Pal

Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently

Christopher Bourez

Deep Reinforcement Learning Hands-On. A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF - Third Edition

Maxim Lapan

Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Second Edition

Maxim Lapan

Deep Reinforcement Learning Hands-On. Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Oleg Vasilev, Maxim Lapan, Martijn van Otterlo,...

Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition

Sudharsan Ravichandiran

Delphi 2007 dla WIN32 i bazy danych

Marian Wybrańczyk

Delphi Cookbook. Over 60 hands-on recipes to help you master the power of Delphi for cross-platform and mobile development on multiple platforms - Second Edition

Daniele Teti