Biswas, Anjanava

Scott, Matthew R.

Talukdar, Wrick

Acero, Dr. Alex

Create intelligent, autonomous AI agents that can reason, plan, and adapt

Building Agentic AI Systems

Onge, Matt St.

Krishnan, Rama

Fortify your embedded Linux systems from design to deployment

The Embedded Linux Security Handbook

Dantas, Victor

Huntingford, Chris

Implement strategy, automation, and AI for scalable digital transformation

The Power Platform Playbook for Digital Transformation

Mitrović, Nikola

Yadav, Santosh

Discover 40+ real-world solutions for building async, event-driven web apps

RxJS Cookbook for Reactive Programming

Gabriel-Petit, Pabini

Kalbach, Jim

A practical guide to structuring digital content for findability and easy navigability

Designing Information Architecture

Ramaswami, Yoni

Williamson, Dael

Govaere, Jan

A practical guide to processing, modeling, and forecasting time series with Apache Spark

Time Series Analysis with Spark

Dunsky, Michael

Enhance your skills with advanced game animation techniques in C++, OpenGL, and Vulkan

Mastering C++ Game Animation Programming

Bachlmayr, Gerald

Zivic, Bojan

Triantafillou, Nick

Ziegelaar, Aiden

Blockley, Alan

Avoiding Common Mistakes and Driving Success with Best Practices and Real-World Cases

Cloud Native Anti-Patterns

Guilmette, Aaron

Natwick, Dwayne

Hardiman, James

Haven, Doug

Pass the SC-300 exam with confidence by using exam-focused resources

Microsoft Identity and Access Administrator SC-300 Exam Guide

Babcock, Joseph

Bali, Raghav

Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications

Generative AI with Python and PyTorch

Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

TensorFlow 2 Reinforcement Learning Cookbook

<span xml:lang="en">TensorFlow 2 Reinforcement Learning Cookbook: Over 50 recipes to help you build, train, and deploy learning agents for real-world applications</span>

P, Palanisamy

Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learningKey FeaturesDevelop and deploy deep reinforcement learning-based solutions to production pipelines, products, and servicesExplore popular reinforcement learning algorithms such as Q-learning, SARSA, and the actor-critic methodCustomize and build RL-based applications for performing real-world tasksBook DescriptionWith deep reinforcement learning, you can build intelligent agents, products, and services that can go beyond computer vision or perception to perform actions.

Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learningKey...

Format

TensorFlow 2 Reinforcement Learning Cookbook

Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

Palanisamy P

Leute lesen auch