{"product_id":"python-deep-learning","title":"Python Deep Learning","description":"\u003cp\u003eWith an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries.\u003c\/p\u003e\u003cp style=\"margin-top: 0.6em; margin-bottom: 1.2em; padding: 0px; color: rgb(73, 73, 73); font-family: Ubuntu, sans-serif; background-color: rgb(243, 247, 248);\"\u003eThe book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results.\u003c\/p\u003e\u003cp style=\"margin-top: 0.6em; margin-bottom: 1.2em; padding: 0px; color: rgb(73, 73, 73); font-family: Ubuntu, sans-serif; background-color: rgb(243, 247, 248);\"\u003eStarting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques.\u003c\/p\u003e\u003cp\u003eWhether you want to dive deeper into Deep Learning, or want to investigate how to get more out of this powerful technology, you’ll find everything inside.\u003c\/p\u003e\u003ch2 style=\"margin-bottom: 20px; font-weight: 300; font-family: Ubuntu, sans-serif; font-size: 2em; line-height: 36.4px; color: rgb(73, 73, 73); background-color: rgb(243, 247, 248);\"\u003eWhat You Will Learn\u003c\/h2\u003e\u003cdiv class=\"book-info-will-learn-text\" style=\"color: rgb(73, 73, 73); font-family: Ubuntu, sans-serif; background-color: rgb(243, 247, 248);\"\u003e\u003cul\u003e\n\u003cli\u003eGet a practical deep dive into deep learning algorithms\u003c\/li\u003e\n\u003cli\u003eExplore deep learning further with Theano, Caffe, Keras, and TensorFlow\u003c\/li\u003e\n\u003cli\u003eLearn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines\u003c\/li\u003e\n\u003cli\u003eDive into Deep Belief Nets and Deep Neural Networks\u003c\/li\u003e\n\u003cli\u003eDiscover more deep learning algorithms with Dropout and Convolutional Neural Networks\u003c\/li\u003e\n\u003cli\u003eGet to know device strategies so you can use deep learning algorithms and libraries in the real world\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/div\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 13.2pt; line-height: 24.05pt; background-image: initial; background-color: rgb(243, 247, 248);\"\u003eTable of Contents\u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0.0001pt; line-height: normal; background-image: initial; background-color: rgb(243, 247, 248);\"\u003e1: MACHINE LEARNING – AN INTRODUCTION \u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0.0001pt; line-height: normal; background-image: initial; background-color: rgb(243, 247, 248);\"\u003e2: NEURAL NETWORKS \u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0.0001pt; line-height: normal; background-image: initial; background-color: rgb(243, 247, 248);\"\u003e3: DEEP LEARNING FUNDAMENTALS \u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0.0001pt; line-height: normal; background-image: initial; background-color: rgb(243, 247, 248);\"\u003e4: UNSUPERVISED FEATURE LEARNING \u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0.0001pt; line-height: normal; background-image: initial; background-color: rgb(243, 247, 248);\"\u003e5: IMAGE RECOGNITION \u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0.0001pt; line-height: normal; background-image: initial; background-color: rgb(243, 247, 248);\"\u003e6: RECURRENT NEURAL NETWORKS AND LANGUAGE MODELS \u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0.0001pt; line-height: normal; background-image: initial; background-color: rgb(243, 247, 248);\"\u003e7: DEEP LEARNING FOR BOARD GAMES \u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0.0001pt; line-height: normal; background-image: initial; background-color: rgb(243, 247, 248);\"\u003e8: DEEP LEARNING FOR COMPUTER GAMES \u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"margin-bottom: 0.0001pt; line-height: normal; background-image: initial; background-color: rgb(243, 247, 248);\"\u003e9: ANOMALY DETECTION \u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp\u003e10: BUILDING A PRODUCTION-READY INTRUSION DETECTION SYSTEM\u003c\/p\u003e\u003ch5\u003eAbout the Author\u003c\/h5\u003e\u003cp\u003eValentino Zocca graduated with a PhD in mathematics from the University of Maryland, USA, with a dissertation in symplectic geometry, after having graduated with a laurea in mathematics from the University of Rome. He spent a semester at the University of Warwick.\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50506022715462,"sku":"9781786464453","price":3374.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9781786464453.png?v=1790317812","url":"https:\/\/cb-india.com\/products\/python-deep-learning","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}