{"product_id":"enhancing-deep-learning-with-bayesian-inference-create-more-powerful-robust-deep-learning-systems-with-bayesian-deep-learning-in-python-paperback","title":"Enhancing Deep Learning with Bayesian Inference: Create more powerful, robust deep learning systems with Bayesian deep learning in Python - 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\u003eMatt Benatan\u003c\/b\u003e (Author), \u003cb\u003eJochem Gietema\u003c\/b\u003e (Author), \u003cb\u003eMarian Schneider\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDevelop Bayesian Deep Learning models to help make your own applications more robust.\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\u003eGain insights into the limitations of typical neural networks\u003c\/li\u003e\n\u003cli\u003eAcquire the skill to cultivate neural networks capable of estimating uncertainty\u003c\/li\u003e\n\u003cli\u003eDiscover how to leverage uncertainty to develop more robust machine learning systems\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\u003eDeep learning is revolutionizing our lives, impacting content recommendations and playing a key role in mission- and safety-critical applications. Yet, typical deep learning methods lack awareness about uncertainty. Bayesian deep learning offers solutions based on approximate Bayesian inference, enhancing the robustness of deep learning systems by indicating how confident they are in their predictions. This book will guide you in incorporating model predictions within your applications with care.\u003c\/p\u003e\u003cp\u003eStarting with an introduction to the rapidly growing field of uncertainty-aware deep learning, you'll discover the importance of uncertainty estimation in robust machine learning systems. You'll then explore a variety of popular Bayesian deep learning methods and understand how to implement them through practical Python examples covering a range of application scenarios.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll embrace the power of Bayesian deep learning and unlock a new level of confidence in your models for safer, more robust deep learning systems.\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\u003eDiscern the advantages and disadvantages of Bayesian inference and deep learning\u003c\/li\u003e\n\u003cli\u003eBecome well-versed with the fundamentals of Bayesian Neural Networks\u003c\/li\u003e\n\u003cli\u003eUnderstand the differences between key BNN implementations and approximations\u003c\/li\u003e\n\u003cli\u003eRecognize the merits of probabilistic DNNs in production contexts\u003c\/li\u003e\n\u003cli\u003eMaster the implementation of a variety of BDL methods in Python code\u003c\/li\u003e\n\u003cli\u003eApply BDL methods to real-world problems\u003c\/li\u003e\n\u003cli\u003eEvaluate BDL methods and choose the most suitable approach for a given task\u003c\/li\u003e\n\u003cli\u003eDevelop proficiency in dealing with unexpected data in deep learning applications\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\u003eThis book will cater to researchers and developers looking for ways to develop more robust deep learning models through probabilistic deep learning. You're expected to have a solid understanding of the fundamentals of machine learning and probability, along with prior experience working with machine learning and deep learning models.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 386\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.8 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 30, 2023\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":47461050777778,"sku":"9781803246888","price":91.61,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0770\/3891\/1666\/files\/H-H5-KAMQ69781803246888.webp?v=1782864840","url":"https:\/\/box.dadyminds.org\/products\/enhancing-deep-learning-with-bayesian-inference-create-more-powerful-robust-deep-learning-systems-with-bayesian-deep-learning-in-python-paperback","provider":"DADYMINDS BOX","version":"1.0","type":"link"}