{"product_id":"tensorflow-2-reinforcement-learning-cookbook-over-50-recipes-to-help-you-build-train-and-deploy-learning-agents-for-real-world-applications-paperback","title":"TensorFlow 2 Reinforcement Learning Cookbook: Over 50 recipes to help you build, train, and deploy learning agents for real-world applications - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePraveen Palanisamy\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDiscover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDevelop and deploy deep reinforcement learning-based solutions to production pipelines, products, and services\u003c\/li\u003e\n\u003cli\u003eExplore popular reinforcement learning algorithms such as Q-learning, SARSA, and the actor-critic method\u003c\/li\u003e\n\u003cli\u003eCustomize and build RL-based applications for performing real-world tasks\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eWith deep reinforcement learning, you can build intelligent agents, products, and services that can go beyond computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to develop and train deep neural networks (DNNs). This book contains easy-to-follow recipes for leveraging TensorFlow 2.x to develop artificial intelligence applications.\u003c\/p\u003e\u003cp\u003eStarting with an introduction to the fundamentals of deep reinforcement learning and TensorFlow 2.x, the book covers OpenAI Gym, model-based RL, model-free RL, and how to develop basic agents. You'll discover how to implement advanced deep reinforcement learning algorithms such as actor-critic, deep deterministic policy gradients, deep-Q networks, proximal policy optimization, and deep recurrent Q-networks for training your RL agents. As you advance, you'll explore the applications of reinforcement learning by building cryptocurrency trading agents, stock\/share trading agents, and intelligent agents for automating task completion. Finally, you'll find out how to deploy deep reinforcement learning agents to the cloud and build cross-platform apps using TensorFlow 2.x.\u003c\/p\u003e\u003cp\u003eBy the end of this TensorFlow book, you'll have gained a solid understanding of deep reinforcement learning algorithms and their implementations from scratch.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBuild deep reinforcement learning agents from scratch using the all-new TensorFlow 2.x and Keras API\u003c\/li\u003e\n\u003cli\u003eImplement state-of-the-art deep reinforcement learning algorithms using minimal code\u003c\/li\u003e\n\u003cli\u003eBuild, train, and package deep RL agents for cryptocurrency and stock trading\u003c\/li\u003e\n\u003cli\u003eDeploy RL agents to the cloud and edge to test them by creating desktop, web, and mobile apps and cloud services\u003c\/li\u003e\n\u003cli\u003eSpeed up agent development using distributed DNN model training\u003c\/li\u003e\n\u003cli\u003eExplore distributed deep RL architectures and discover opportunities in AIaaS (AI as a Service)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThe book is for machine learning application developers, AI and applied AI researchers, data scientists, deep learning practitioners, and students with a basic understanding of reinforcement learning concepts who want to build, train, and deploy their own reinforcement learning systems from scratch using TensorFlow 2.x.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 474\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.95 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 15, 2021\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51786402169120,"sku":"9781838982546","price":73.42,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/89645b7a4a8b3b15453084843daba0f2.webp?v=1780633527","url":"https:\/\/ebocreations.com\/products\/tensorflow-2-reinforcement-learning-cookbook-over-50-recipes-to-help-you-build-train-and-deploy-learning-agents-for-real-world-applications-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}