{"product_id":"codeless-deep-learning-with-knime-build-train-and-deploy-various-deep-neural-network-architectures-using-knime-analytics-platform-paperback","title":"Codeless Deep Learning with KNIME: Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform - Paperback","description":"\u003cp\u003eby \u003cb\u003eKathrin Melcher\u003c\/b\u003e (Author), \u003cb\u003eRosaria Silipo\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDiscover how to integrate KNIME Analytics Platform with deep learning libraries to implement artificial intelligence solutions\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\u003eBecome well-versed with KNIME Analytics Platform to perform codeless deep learning\u003c\/li\u003e\n\u003cli\u003eDesign and build deep learning workflows quickly and more easily using the KNIME GUI\u003c\/li\u003e\n\u003cli\u003eDiscover different deployment options without using a single line of code with KNIME Analytics Platform\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\u003eKNIME Analytics Platform is an open source software used to create and design data science workflows. This book is a comprehensive guide to the KNIME GUI and KNIME deep learning integration, helping you build neural network models without writing any code. It'll guide you in building simple and complex neural networks through practical and creative solutions for solving real-world data problems.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eStarting with an introduction to KNIME Analytics Platform, you'll get an overview of simple feed-forward networks for solving simple classification problems on relatively small datasets. You'll then move on to build, train, test, and deploy more complex networks, such as autoencoders, recurrent neural networks (RNNs), long short-term memory (LSTM), and convolutional neural networks (CNNs). In each chapter, depending on the network and use case, you'll learn how to prepare data, encode incoming data, and apply best practices.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll have learned how to design a variety of different neural architectures and will be able to train, test, and deploy the final network.\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\u003eUse various common nodes to transform your data into the right structure suitable for training a neural network\u003c\/li\u003e\n\u003cli\u003eUnderstand neural network techniques such as loss functions, backpropagation, and hyperparameters\u003c\/li\u003e\n\u003cli\u003ePrepare and encode data appropriately to feed it into the network\u003c\/li\u003e\n\u003cli\u003eBuild and train a classic feedforward network\u003c\/li\u003e\n\u003cli\u003eDevelop and optimize an autoencoder network for outlier detection\u003c\/li\u003e\n\u003cli\u003eImplement deep learning networks such as CNNs, RNNs, and LSTM with the help of practical examples\u003c\/li\u003e\n\u003cli\u003eDeploy a trained deep learning network on real-world data\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\u003eThis book is for data analysts, data scientists, and deep learning developers who are not well-versed in Python but want to learn how to use KNIME GUI to build, train, test, and deploy neural networks with different architectures. The practical implementations shown in the book do not require coding or any knowledge of dedicated scripts, so you can easily implement your knowledge into practical applications. No prior experience of using KNIME is required to get started with this book.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 384\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.79 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 27, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42728663187519,"sku":"9781800566613","price":95.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/8e37a2f310fadadc91a63f7e4dbbe4c1.webp?v=1765119333","url":"https:\/\/dhlswag.com\/products\/codeless-deep-learning-with-knime-build-train-and-deploy-various-deep-neural-network-architectures-using-knime-analytics-platform-paperback","provider":"BBB","version":"1.0","type":"link"}