{"product_id":"deep-learning-with-r-second-edition","title":"Deep Learning With R Second Edition","description":"\u003cdiv class=\"product-page-section\" style='color: rgb(51, 51, 51); text-transform: none; text-indent: 0px; letter-spacing: normal; font-family: Lato, -apple-system, BlinkMacSystemFont, \"avenir next\", avenir, \"helvetica neue\", helvetica, Ubuntu, roboto, noto, \"segoe ui\", arial, sans-serif; font-size: 17.25px; font-style: normal; font-weight: 300; margin-bottom: 36px; word-spacing: 0px; display: block; white-space: normal; box-sizing: border-box; orphans: 2; widows: 2; font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'\u003e  \u003cdiv class=\"product-page-section\" style=\"padding-bottom: 0px; margin-bottom: 0px; display: block; box-sizing: border-box;\"\u003e   \u003cb style=\"font-weight: bold; box-sizing: border-box;\"\u003eDeep learning from the ground up using R and the powerful Keras library!\u003c\/b\u003e   \u003cbr style=\"box-sizing: border-box;\"\u003e   \u003cbr style=\"box-sizing: border-box;\"\u003eIn   \u003cspan\u003e \u003c\/span\u003e   \u003ci style=\"box-sizing: border-box;\"\u003eDeep Learning with R, Second Edition\u003c\/i\u003e   \u003cspan\u003e \u003c\/span\u003eyou will learn:   \u003cbr style=\"box-sizing: border-box;\"\u003e   \u003cbr style=\"box-sizing: border-box;\"\u003e   \u003cul style=\"padding-left: 17.5px; margin-top: 0px; margin-bottom: 10.5px; box-sizing: border-box;\"\u003e    \u003cli style=\"box-sizing: border-box;\"\u003eDeep learning from first principles\u003c\/li\u003e    \u003cli style=\"box-sizing: border-box;\"\u003eImage classification and image segmentation\u003c\/li\u003e    \u003cli style=\"box-sizing: border-box;\"\u003eTime series forecasting\u003c\/li\u003e    \u003cli style=\"box-sizing: border-box;\"\u003eText classification and machine translation\u003c\/li\u003e    \u003cli style=\"box-sizing: border-box;\"\u003eText generation, neural style transfer, and image generation\u003c\/li\u003e   \u003c\/ul\u003e   \u003ci style=\"box-sizing: border-box;\"\u003eDeep Learning with R, Second Edition\u003c\/i\u003e   \u003cspan\u003e \u003c\/span\u003eshows you how to put deep learning into action. It''s based on the revised new edition of François Chollet''s bestselling   \u003cspan\u003e \u003c\/span\u003e   \u003ci style=\"padding-bottom: 0px; margin-bottom: 0px; box-sizing: border-box;\"\u003e\u003ca style=\"color: rgb(64, 127, 191); text-decoration: none; box-sizing: border-box; background-color: transparent;\" href=\"https:\/\/www.manning.com\/books\/deep-learning-with-python\"\u003eDeep Learning with Python\u003c\/a\u003e\u003c\/i\u003e. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks.  \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"product-page-section\" style='color: rgb(51, 51, 51); text-transform: none; text-indent: 0px; letter-spacing: normal; font-family: Lato, -apple-system, BlinkMacSystemFont, \"avenir next\", avenir, \"helvetica neue\", helvetica, Ubuntu, roboto, noto, \"segoe ui\", arial, sans-serif; font-size: 17.25px; font-style: normal; font-weight: 300; margin-bottom: 36px; word-spacing: 0px; display: block; white-space: normal; box-sizing: border-box; orphans: 2; widows: 2; font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'\u003e  \u003ch2 style='margin: 0px 0px 10px; color: inherit; text-transform: lowercase; line-height: 1.1; font-family: Lato, -apple-system, BlinkMacSystemFont, \"avenir next\", avenir, \"helvetica neue\", helvetica, Ubuntu, roboto, noto, \"segoe ui\", arial, sans-serif; font-size: 27px; font-weight: bold; box-sizing: border-box;'\u003eabout the technology\u003c\/h2\u003e  \u003ca name=\"about-the-technology\" class=\"anchor\" style=\"color: rgb(64, 127, 191); padding-bottom: 0px; text-decoration: none; margin-bottom: 0px; display: block; visibility: hidden; position: relative; box-sizing: border-box; background-color: transparent;\"\u003e\u003c\/a\u003eDeep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. \u003c\/div\u003e \u003cdiv class=\"product-page-section\" style='color: rgb(51, 51, 51); text-transform: none; text-indent: 0px; letter-spacing: normal; font-family: Lato, -apple-system, BlinkMacSystemFont, \"avenir next\", avenir, \"helvetica neue\", helvetica, Ubuntu, roboto, noto, \"segoe ui\", arial, sans-serif; font-size: 17.25px; font-style: normal; font-weight: 300; margin-bottom: 36px; word-spacing: 0px; display: block; white-space: normal; box-sizing: border-box; orphans: 2; widows: 2; font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'\u003e  \u003cdiv class=\"product-page-section\" style='color: rgb(51, 51, 51); text-transform: none; text-indent: 0px; letter-spacing: normal; font-family: Lato, -apple-system, BlinkMacSystemFont, \"avenir next\", avenir, \"helvetica neue\", helvetica, Ubuntu, roboto, noto, \"segoe ui\", arial, sans-serif; font-size: 17.25px; font-style: normal; font-weight: 300; margin-bottom: 36px; word-spacing: 0px; display: block; white-space: normal; box-sizing: border-box; orphans: 2; widows: 2; font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'\u003e   \u003ch2 style='margin: 0px 0px 10px; color: inherit; text-transform: lowercase; line-height: 1.1; font-family: Lato, -apple-system, BlinkMacSystemFont, \"avenir next\", avenir, \"helvetica neue\", helvetica, Ubuntu, roboto, noto, \"segoe ui\", arial, sans-serif; font-size: 27px; font-weight: bold; box-sizing: border-box;'\u003ewhat''s inside\u003c\/h2\u003e   \u003ca name=\"whats-inside\" class=\"anchor\" style=\"color: rgb(64, 127, 191); text-decoration: none; display: block; visibility: hidden; position: relative; box-sizing: border-box; background-color: transparent;\"\u003e\u003c\/a\u003e   \u003cul style=\"padding-bottom: 0px; padding-left: 17.5px; margin-top: 0px; margin-bottom: 0px; box-sizing: border-box;\"\u003e    \u003cli style=\"box-sizing: border-box;\"\u003eImage classification and image segmentation\u003c\/li\u003e    \u003cli style=\"box-sizing: border-box;\"\u003eTime series forecasting\u003c\/li\u003e    \u003cli style=\"box-sizing: border-box;\"\u003eText classification and machine translation\u003c\/li\u003e    \u003cli style=\"box-sizing: border-box;\"\u003eText generation, neural style transfer, and image generation\u003c\/li\u003e   \u003c\/ul\u003e  \u003c\/div\u003e  \u003cdiv class=\"product-page-section\" style='color: rgb(51, 51, 51); text-transform: none; text-indent: 0px; letter-spacing: normal; font-family: Lato, -apple-system, BlinkMacSystemFont, \"avenir next\", avenir, \"helvetica neue\", helvetica, Ubuntu, roboto, noto, \"segoe ui\", arial, sans-serif; font-size: 17.25px; font-style: normal; font-weight: 300; margin-bottom: 36px; word-spacing: 0px; display: block; white-space: normal; box-sizing: border-box; orphans: 2; widows: 2; font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'\u003e   \u003ch2 style='margin: 0px 0px 10px; color: inherit; text-transform: lowercase; line-height: 1.1; font-family: Lato, -apple-system, BlinkMacSystemFont, \"avenir next\", avenir, \"helvetica neue\", helvetica, Ubuntu, roboto, noto, \"segoe ui\", arial, sans-serif; font-size: 27px; font-weight: bold; box-sizing: border-box;'\u003eabout the reader\u003c\/h2\u003e   \u003ca name=\"about-the-reader\" class=\"anchor\" style=\"color: rgb(64, 127, 191); padding-bottom: 0px; text-decoration: none; margin-bottom: 0px; display: block; visibility: hidden; position: relative; box-sizing: border-box; background-color: transparent;\"\u003e\u003c\/a\u003eFor readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required.  \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"product-page-section\" style='color: rgb(51, 51, 51); text-transform: none; text-indent: 0px; letter-spacing: normal; font-family: Lato, -apple-system, BlinkMacSystemFont, \"avenir next\", avenir, \"helvetica neue\", helvetica, Ubuntu, roboto, noto, \"segoe ui\", arial, sans-serif; font-size: 17.25px; font-style: normal; font-weight: 300; margin-bottom: 36px; word-spacing: 0px; display: block; white-space: normal; box-sizing: border-box; orphans: 2; widows: 2; font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'\u003e    \u003c\/div\u003e","brand":"MediaPlace","offers":[{"title":"Default Title","offer_id":57390085374334,"sku":"NW9781633439849","price":56.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1379\/1261\/files\/9781633439849.jpg?v=1778680263","url":"https:\/\/mediaplace.com\/en-eu\/products\/deep-learning-with-r-second-edition","provider":"MediaPlace","version":"1.0","type":"link"}