Bøger af Benjamin Young

Forthcoming from the MIT Press

Summary Do you have difficulties to get started on pytorch even with online tutorials? Do you have trouble really understand PyTorch example code? Do you want to understand many state-of-art deep learning technologies with bare-minimum math?Do you have obstacles to implement a real-life deep learning projects in Pytorch?Free lifetime upgrade ( for an electronic copy ) as the book has been and will be frequently updated according to readers' feedbacks. Previous buyers, please feel free to contact the author for free update ( electronic copy ). This book will ease these pains and help you learn and grasp latest pytorch deep learning technology from ground zero with many interesting real world examples. It could also be used as a quick guide on how to use and understand deep learning in the real life.DescriptionArtificial Intelligence (AI), Machine Learning especially Deep Learning has made tremendous progress in recent years. It starts to spread to all industries.Unless you are a refresh graduated student with AI/deep learning major, many of us do not have a formal machine learning/deep learning training before, so it is time to keep updated with latest technology.Pytoch is a quite powerful, flexible and yet popular deep learning framework, but the learning curve could be steep if you do not have much deep learning background. This book will easy the pain and help you learn and grasp latest pytorch deep learning technology from ground zero with many interesting real world examples. It covers many state-of-art deep learning technologies, e.g.: Convoluational neural network (CNN), Recurrent neural network (RNN), Seq2Seq model, word emedding, Connectionist temporal calssification (CTC ), Auto-encoder, Dynamic Memrory Network (DMN), Deep-Q-learning(DQN/DDQN), Monte Carlo Tree search (MCTS), Alphago/Alphazero etc. This book could also be used as a quick guide on how to use and understand deep learning in the real life.Readers should have basic knowledge of python, scripting etc. Any constructive feedback is welcome. Table of ContentsIntroductionWhat is deep learningDeep neural network basic conceptsDeep learning development environmentsPython and Tensor basicPytorch deep learning basicMNIST CNN example: A deep dive of how to handle image dataPre-trained model, transfer learning and fine-tuningRecurrent neural network - how to handle sequences dataNatural Langauge ProcessingOptical character recognitionAudio processing, speech processingAutoencoder networkDeep reinforcement learningLearning from scratch (self-play) AlphaZeroHow to deploy deep learning model.Note: a keras/tensorflow version of this book Deep Learning with Keras from Scratch could be bought at https: //www.amazon.com/Learning-Keras-Scratch-Benjamin-Young/dp/1091838828

Are you faced with the challenges of understanding Kubernetes (K8s) and its unique yet sometimes confusing concepts, terms, and jargon? Look no further! This comprehensive guide is designed to help you overcome those hurdles with practical step-by-step examples, enabling you to harness the power of Kubernetes within hours or days.Whether you're a beginner or have some familiarity with Kubernetes, this book is your ultimate resource for quickly and effectively learning and using the platform. Instead of overwhelming you with every intricate detail, it focuses on providing a jump-start to your K8s journey, equipping you with the essential knowledge to get started and be productive.By reading this book, you will gain a solid understanding of key Kubernetes jargon and concepts within a matter of hours. Have you ever wondered how to install K8s load-balancer, Ingress, or StorageClass in a bare metal environment? This book guides you through the process, offering clear instructions and practical insights.Additionally, you will learn how to deploy stateless and stateful applications swiftly, utilizing the full potential of Kubernetes. Discover effective strategies for auto-scaling your applications, ensuring optimal performance and resource utilization.Furthermore, this book delves into important topics such as persistent volumes (PV), persistent volume claims (PVC), and storage classes, explaining their significance and how they function within Kubernetes.As an added bonus, you'll explore the practical application of Role-Based Access Control (RBAC), empowering you to manage access and permissions effectively in your Kubernetes environment.With its focus on practicality and hands-on examples, this book will accelerate your mastery of Kubernetes. Whether you're a developer, sysadmin, or IT professional, this guide will equip you with the knowledge and skills needed to utilize Kubernetes efficiently and confidently.Please note that this book does not aim to cover every aspect of Kubernetes but rather to provide a solid foundation for your Kubernetes journey. Get ready to unlock the true potential of Kubernetes and become a proficient user with this invaluable resource.In this book, you will learn: * several key kubernetes concepts.* how to install K8s cluster in a bare metal environment.* how to auto-scaling your application.* what is pv, pvc, storage class and how it works.* how to deploy stateless/stateful applications* How to use Role-Based Access Control (RBAC) You can also learn online course at: http: //www.comrite.com/course/kubernetes-quick-start-learn-and-master-kubernetes-with-step-by-step-examples/

Summary Do you have difficulties to get started on pytorch even with online tutorials? Do you have trouble really understand PyTorch example code? Do you want to understand many state-of-art deep learning technologies with bare-minimum math?Do you have obstacles to implement a real-life deep learning projects in Pytorch?Free lifetime upgrade ( for an electronic copy ) as the book has been and will be frequently updated according to readers' feedbacks. Previous buyers, please feel free to contact the author for free update ( electronic copy ). This book will ease these pains and help you learn and grasp latest pytorch deep learning technology from ground zero with many interesting real world examples. It could also be used as a quick guide on how to use and understand deep learning in the real life.DescriptionArtificial Intelligence (AI), Machine Learning especially Deep Learning has made tremendous progress in recent years. It starts to spread to all industries.Unless you are a refresh graduated student with AI/deep learning major, many of us do not have a formal machine learning/deep learning training before, so it is time to keep updated with latest technology.Pytoch is a quite powerful, flexible and yet popular deep learning framework, but the learning curve could be steep if you do not have much deep learning background. This book will easy the pain and help you learn and grasp latest pytorch deep learning technology from ground zero with many interesting real world examples. It covers many state-of-art deep learning technologies, e.g.: Convoluational neural network (CNN), Recurrent neural network (RNN), Seq2Seq model, word emedding, Connectionist temporal calssification (CTC ), Auto-encoder, Dynamic Memrory Network (DMN), Deep-Q-learning(DQN/DDQN), Monte Carlo Tree search (MCTS), Alphago/Alphazero etc. This book could also be used as a quick guide on how to use and understand deep learning in the real life.Readers should have basic knowledge of python, scripting etc. Any constructive feedback is welcome. Table of ContentsIntroductionWhat is deep learningDeep neural network basic conceptsDeep learning development environmentsPython and Tensor basicPytorch deep learning basicMNIST CNN example: A deep dive of how to handle image dataPre-trained model, transfer learning and fine-tuningRecurrent neural network - how to handle sequences dataNatural Langauge ProcessingOptical character recognitionAudio processing, speech processingAutoencoder networkDeep reinforcement learningLearning from scratch (self-play) AlphaZeroHow to deploy deep learning model.Note: a keras/tensorflow version of this book Deep Learning with Keras from Scratch could be bought at https: //www.amazon.com/Learning-Keras-Scratch-Benjamin-Young/dp/1091838828

A tale of two brothers caught up in a drug deal gone sour. Experience the suspense of Eastside Revenge witness the Florida riders versus the good old Georgia boys as they battle it out in the streets of the infamous C-port city of Savannah Georgia.