{"product_id":"9781789134759","title":"Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems","description":"\u003cp\u003e\u003cb\u003eInsightful projects to master deep learning and neural network architectures using Python and Keras\u003c\/b\u003e\u003c\/p\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eExplore deep learning across computer vision, natural language processing (NLP), and image processing\u003c\/li\u003e\n\u003cli\u003eDiscover best practices for the training of deep neural networks and their deployment\u003c\/li\u003e\n\u003cli\u003eAccess popular deep learning models as well as widely used neural network architectures\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003eDeep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.\u003cp\u003ePython Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You’ll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system.\u003c\/p\u003e\u003cp\u003eSimilarly, you’ll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you’ll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way\u003c\/p\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eSet up a deep learning development environment on Amazon Web Services (AWS)\u003c\/li\u003e\n\u003cli\u003eApply GPU-powered instances as well as the deep learning AMI\u003c\/li\u003e\n\u003cli\u003eImplement seq-to-seq networks for modeling natural language processing (NLP)\u003c\/li\u003e\n\u003cli\u003eDevelop an end-to-end speech recognition system\u003c\/li\u003e\n\u003cli\u003eBuild a system for pixel-wise semantic labeling of an image\u003c\/li\u003e\n\u003cli\u003eCreate a system that generates images and their regions\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003cp\u003ePython Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects.\u003c\/p\u003e\u003cp\u003eIt is assumed that you have sound knowledge of Python programming\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":46618083426545,"sku":"9781789134759","price":41.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781789134759_p0.jpg?v=1771137007","url":"https:\/\/shop.barnesandnoble.com\/products\/9781789134759","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}