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

Mike Bernico

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

Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants

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

Mark Ryan

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

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, Amita Kapoor, Sujit Pal

Deep Learning with TensorFlow. Explore neural networks with Python

Giancarlo Zaccone, Md. Rezaul Karim, Ahmed Menshawy

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

Maxim Lapan

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. 50 hands-on recipes to master the power of Delphi for cross-platform and mobile development on Windows, Mac OS X, Android, and iOS

Daniele Teti

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

Delphi Cookbook. Recipes to master Delphi for IoT integrations, cross-platform, mobile and server-side development - Third Edition

Daniele Spinetti, Daniele Teti

Delphi GUI Programming with FireMonkey. Unleash the full potential of the FMX framework to build exciting cross-platform apps with Embarcadero Delphi

Andrea Magni, Marco Cantu

Delphi High Performance. Build fast Delphi applications using concurrency, parallel programming and memory management

Primož Gabrijelčič

Delphi High Performance. Master the art of concurrency, parallel programming, and memory management to build fast Delphi apps - Second Edition

Primož Gabrijelčič

Delphi Programming Projects. Build a range of exciting projects by exploring cross-platform development and microservices

William Duarte

Demystifying Cryptography with OpenSSL 3.0. Discover the best techniques to enhance your network security with OpenSSL 3.0

Alexei Khlebnikov, Jarle Adolfsen