The Deep Learning Architect's Handbook: Build and deploy production-ready DL sol

Description: The Deep Learning Architect's Handbook by Ee Kin Chin Estimated delivery 3-12 business days Format Paperback Condition Brand New Description The Deep Learning Architects Handbook covers everything you need to master all aspects of deep learning. Publisher Description Harness 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 cycleKey FeaturesInterpret your models decision-making process, ensuring transparency and trust in your AI-powered solutionsGain hands-on experience in every step of the deep learning life cycleExplore case studies and solutions for deploying DL models while addressing scalability, data drift, and ethical considerationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDeep 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.This 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. Youll 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.As you progress, youll 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. Youll also discover the transformative potential of large language models (LLMs) for a wide array of applications.By the end of this book, youll have mastered deep learning techniques to unlock its full potential for your endeavors.What you will learnUse neural architecture search (NAS) to automate the design of artificial neural networks (ANNs)Implement recurrent neural networks (RNNs), convolutional neural networks (CNNs), BERT, transformers, and more to build your modelDeal with multi-modal data drift in a production environmentEvaluate the quality and bias of your modelsExplore techniques to protect your model from adversarial attacksGet to grips with deploying a model with DataRobot AutoMLWho this book is forThis 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. Author Biography Ee Kin Chin is a Senior Deep Learning Engineer at DataRobot. He holds a Bachelor of Engineering (Honours) in Electronics with a major in Telecommunications. Ee Kin is an expert in the field of Deep Learning, Data Science, Machine Learning, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Python, Keras, Pytorch, and related technologies. He has a proven track record of delivering successful projects in these areas and is dedicated to staying up to date with the latest advancements in the field. Details ISBN 1803243791 ISBN-13 9781803243795 Title The Deep Learning Architect's Handbook Author Ee Kin Chin Format Paperback Year 2023 Pages 516 Publisher Packt Publishing Limited GE_Item_ID:157697090; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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