{"product_id":"hands-on-deep-learning-architectures-with-python-pstrong-create-deep-neural-networks-to-solve-computational-problems-using-tensorflow-and-keras-p","title":"Hands-On Deep Learning Architectures with Python","description":"\u003cp\u003e\u003cstrong\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eKey Features\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cul style=\"margin: 0px 0px 18px 20px; padding-right: 0px; padding-left: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eExplore advanced deep learning architectures using various datasets and frameworks\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eImplement deep architectures for neural network models such as CNN, RNN, GAN, and many more\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eDiscover design patterns and different challenges for various deep learning architectures\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eBook Description\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"margin: 0px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eDeep learning architectures are composed of multilevel nonlinear operations that represent high-level abstractions; this allows you to learn useful feature representations from the data. This book will help you learn and implement deep learning architectures to resolve various deep learning research problems.\u003c\/p\u003e\u003cp style=\"margin: -4px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eHands-On Deep Learning Architectures with Python explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations and ideas to help you build efficient artificial intelligence systems (AI), this book will help you learn how neural networks play a major role in building deep architectures. You will understand various deep learning architectures (such as AlexNet, VGG Net, GoogleNet) with easy-to-follow code and diagrams. In addition to this, the book will also guide you in building and training various deep architectures such as the Boltzmann mechanism, autoencoders, convolutional neural networks (CNNs), recurrent neural networks (RNNs), natural language processing (NLP), GAN, and more―all with practical implementations.\u003c\/p\u003e\u003cp style=\"margin: -4px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eBy the end of this book, you will be able to construct deep models using popular frameworks and datasets with the required design patterns for each architecture. You will be ready to explore the potential of deep architectures in today's world.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eWhat you will learn\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cul style=\"margin: 0px 0px 18px 20px; padding-right: 0px; padding-left: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eImplement CNNs, RNNs, and other commonly used architectures with Python\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eExplore architectures such as VGGNet, AlexNet, and GoogLeNet\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eBuild deep learning architectures for AI applications such as face and image recognition, fraud detection, and many more\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eUnderstand the architectures and applications of Boltzmann machines and autoencoders with concrete examples\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eMaster artificial intelligence and neural network concepts and apply them to your architecture\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eUnderstand deep learning architectures for mobile and embedded systems\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eWho this book is for\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"margin: 0px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eIf you’re a data scientist, machine learning developer\/engineer, or deep learning practitioner, or are curious about AI and want to upgrade your knowledge of various deep learning architectures, this book will appeal to you. You are expected to have some knowledge of statistics and machine learning algorithms to get the best out of this book\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50506198777926,"sku":"9781788998086","price":1890.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/s-l500_78df4f4a-0672-405b-88f6-8fbd022836ab.jpg?v=1790322808","url":"https:\/\/cb-india.com\/products\/hands-on-deep-learning-architectures-with-python-pstrong-create-deep-neural-networks-to-solve-computational-problems-using-tensorflow-and-keras-p","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}