{"product_id":"the-deep-learning-architects-handbook-build-and-deploy-production-ready-dl-solutions-leveraging-the-latest-python-techniques-paperback","title":"The Deep Learning Architect's Handbook: Build and deploy production-ready DL solutions leveraging the latest Python techniques - 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\u003eEe Kin Chin\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHarness the power of deep learning to drive productivity and efficiency using this practical guide covering techniques and best practices for the entire deep learning life cycle\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\u003eInterpret your models' decision-making process, ensuring transparency and trust in your AI-powered solutions\u003c\/li\u003e\n\u003cli\u003eGain hands-on experience in every step of the deep learning life cycle\u003c\/li\u003e\n\u003cli\u003eExplore case studies and solutions for deploying DL models while addressing scalability, data drift, and ethical considerations\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\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\u003eDeep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives.\u003c\/p\u003e\u003cp\u003eThis deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You'll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency.\u003c\/p\u003e\u003cp\u003eAs you progress, you'll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You'll also discover the transformative potential of large language models (LLMs) for a wide array of applications.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.\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 neural architecture search (NAS) to automate the design of artificial neural networks (ANNs)\u003c\/li\u003e\n\u003cli\u003eImplement recurrent neural networks (RNNs), convolutional neural networks (CNNs), BERT, transformers, and more to build your model\u003c\/li\u003e\n\u003cli\u003eDeal with multi-modal data drift in a production environment\u003c\/li\u003e\n\u003cli\u003eEvaluate the quality and bias of your models\u003c\/li\u003e\n\u003cli\u003eExplore techniques to protect your model from adversarial attacks\u003c\/li\u003e\n\u003cli\u003eGet to grips with deploying a model with DataRobot AutoML\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 deep learning practitioners, data scientists, and machine learning developers who want to explore deep learning architectures to solve complex business problems. Professionals in the broader deep learning and AI space will also benefit from the insights provided, applicable across a variety of business use cases. Working knowledge of Python programming and a basic understanding of deep learning techniques is needed to get started with this book.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 516\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.04 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 29, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47237958598905,"sku":"9781803243795","price":80.62,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/31qvfAp8F99781803243795.webp?v=1768550053","url":"https:\/\/bookscloud.io\/products\/the-deep-learning-architects-handbook-build-and-deploy-production-ready-dl-solutions-leveraging-the-latest-python-techniques-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}