{"product_id":"deep-learning-with-keras-implementing-deep-learning-models-and-neural-networks-with-the-power-of-python-paperback","title":"Deep Learning with Keras: Implementing deep learning models and neural networks with the power of 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\u003eAntonio Gulli\u003c\/b\u003e (Author), \u003cb\u003eSujit Pal\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePublisher's Note: This edition from 2017 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new second edition, updated for 2020 and featuring TensorFlow 2, the Keras API, CNNs, GANs, RNNs, NLP, and AutoML, has now been published.\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\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\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\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 handwritten 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eNext 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 (GANs). You will also explore non-traditional uses of neural networks as Style Transfer.\u003c\/p\u003e\u003cp\u003e\u003cbr\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\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\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\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\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\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 318\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.67 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 28, 2017\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":45213081337900,"sku":"9781787128422","price":83.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0618\/6260\/8940\/files\/KzFJQURneG1aSW85SWRYOEhsRzZNUT09.webp?v=1769039442","url":"https:\/\/littleredgeneralstore.com\/products\/deep-learning-with-keras-implementing-deep-learning-models-and-neural-networks-with-the-power-of-python-paperback","provider":"Little Red General Store","version":"1.0","type":"link"}