{"product_id":"9781484288344","title":"Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library","description":"\u003ch1\u003eReinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library\u003c\/h1\u003e \u003ch2\u003eAhlawat, Samit\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cdiv\u003eThis book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library.\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ci\u003eReinforcement Learning for Finance\u003c\/i\u003e begins by describing methods for training neural networks. Next, it discusses CNN and RNN – two kinds of neural networks used as deep learning networks in reinforcement learning. Further, the book dives into reinforcement learning theory, explaining the Markov decision process, value function, policy, and policy gradients, with their mathematical formulations and learning algorithms. It covers recent reinforcement learning algorithms from double deep-Q networks to twin-delayed deep deterministic policy gradients and generative adversarial networks with examples using the TensorFlow Python library. It also serves as a quick hands-on guide to TensorFlow programming, covering concepts ranging from variables and graphs to automatic differentiation, layers, models, andloss functions.\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003eAfter completing this book, you will understand reinforcement learning with deep q and generative adversarial networks using the TensorFlow library.\u003c\/div\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003cdiv\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cdiv\u003eUnderstand the fundamentals of reinforcement learning\u003c\/div\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cdiv\u003eApply reinforcement learning programming techniques to solve quantitative-finance problems\u003c\/div\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cdiv\u003eGain insight into convolutional neural networks and recurrent neural networks\u003c\/div\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cdiv\u003eUnderstand the Markov decision process\u003c\/div\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/div\u003e\n\u003cdiv\u003eData Scientists, Machine Learning engineers and Python programmers who want to apply reinforcement learning to solve problems.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2022-12-27\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781484288344\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4842-8835-1\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 423\u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":47717002248332,"sku":"9781484288344","price":34.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781484288344.jpg?v=1776868112","url":"https:\/\/lateknightbooks.com\/products\/9781484288344","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}