Publisher: Packt Publishing

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

Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x

Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar

Deep Learning with R for Beginners. Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden)...

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 TensorFlow and Keras - 3rd edition. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition

Dr. Amita Kapoor, Antonio Gulli, Sujit Pal

Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition

Giancarlo Zaccone, Vihan Jain, Md. Rezaul Karim,...

Deep Learning with TensorFlow. Explore neural networks with Python

Giancarlo Zaccone, Fabrizio Milo, Md. Rezaul Karim

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

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...

Defending APIs. Uncover advanced defense techniques to craft secure application programming interfaces

Colin Domoney, Chris Wysopal, Isabelle Mauny

Defensive Security with Kali Purple. Cybersecurity strategies using ELK Stack and Kali Linux

Karl Lane

Dell VxRail System Design and Best Practices. A complete guide to VxRail appliance design and best practices

Victor Wu

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