Materias dentro de su búsqueda.
Materias dentro de su búsqueda.
- Computer-aided design 9
- Data processing 8
- Architectural drawing 7
- Autodesk Revit 7
- Architectural design 5
- Computer graphics 4
- AutoCAD 3
- Engineering graphics 2
- Architecture 1
- Artificial intelligence 1
- Autodesk Inventor (Electronic resource) 1
- Computer Science 1
- Consumers 1
- Customer relations 1
- Customer services 1
- Engineering & Applied Sciences 1
- Engineering models 1
- Human-computer interaction 1
- Industrial efficiency 1
- Life skills 1
- Machine learning 1
- Microsoft Windows (Computer file) 1
- Musicians 1
- Operating systems (Computers) 1
- Self-actualization (Psychology) 1
- Social aspects 1
- Social media 1
- SolidWorks 1
- Success 1
- Survival 1
-
21por Swanepoel, Stefan“…-SUSAN SCOTT New York Times bestselling coauthor of Fierce Conversations 7 Questions This Book Tackles 1. Are you experiencing a challenge that you wish to overcome? …”
Publicado 2011
Libro electrónico -
22Publicado 2020“…What you will learn Get to grips with the fundamentals of artificial intelligence Understand the importance of data storage and architecture in AI applications Build data storage and workflow management systems with open source tools Containerize your AI applications with tools such as Docker Discover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS) Use the AWS CLI and AWS SDK to perform common data tasks Who this book is for If you are looking to develop the data storage skills needed for machine learning and AI and want to learn AI best practices in data engineering, this workshop is for you. Experienced programmers can use this book to advance their career in AI..…”
Libro electrónico -
23Publicado 2019“…What you will learn Grasp machine learning and neural network techniques to solve challenging tasks Apply the new features of TF 2.0 to speed up development Use TensorFlow Datasets (tfds) and the tf.data API to build high-efficiency data input pipelines Perform transfer learning and fine-tuning with TensorFlow Hub Define and train networks to solve object detection and semantic segmentation problems Train Generative Adversarial Networks (GANs) to generate images and data distributions Use the SavedModel file format to put a model, or a generic computational graph, into production Who this book is for If you're a developer who wants to get started with machine learning and TensorFlow, or a data scientist interested in developing neural network solutions in TF 2.0, this book is for you. Experienced machine learning engineers who want to master the new features of the TensorFlow framework will also find this book useful. …”
Libro electrónico