{"product_id":"9781787129030","title":"Deep Learning with Keras","description":"\u003cp\u003e\u003cb\u003eGet to grips with the basics of Keras to implement fast and efficient deep-learning models\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eImplement various deep-learning algorithms in Keras and see how deep-learning can be used in games\u003c\/li\u003e\n\u003cli\u003eSee how various deep-learning models and practical use-cases can be implemented using Keras\u003c\/li\u003e\n\u003cli\u003eA practical, hands-on guide with real-world examples to give you a strong foundation in Keras\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eIf you are a data scientist with experience in machine learning or an AI programmer with some exposure to neural networks, you will find this book a useful entry point to deep-learning with Keras. A knowledge of Python is required for this book.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eOptimize step-by-step functions on a large neural network using the Backpropagation Algorithm\u003c\/li\u003e\n\u003cli\u003eFine-tune a neural network to improve the quality of results\u003c\/li\u003e\n\u003cli\u003eUse deep learning for image and audio processing\u003c\/li\u003e\n\u003cli\u003eUse Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases\u003c\/li\u003e\n\u003cli\u003eIdentify problems for which Recurrent Neural Network (RNN) solutions are suitable\u003c\/li\u003e\n\u003cli\u003eExplore the process required to implement Autoencoders\u003c\/li\u003e\n\u003cli\u003eEvolve a deep neural network using reinforcement learning\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003eThis book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GAN). You will also explore non-traditional uses of neural networks as Style Transfer.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFinally, you will look at Reinforcement Learning and its application to AI game playing, another popular direction of research and application of neural networks.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStyle and approach\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis book is an easy-to-follow guide full of examples and real-world applications to help you gain an in-depth understanding of Keras. This book will showcase more than twenty working Deep Neural Networks coded in Python using Keras.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47152684564720,"sku":"9781787129030","price":39.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781787129030_p0.jpg?v=1763738579","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781787129030","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}