Together with husband David Pountney, Rebecca approached InForm with a clear brief for her family’s dream home, where she now lives with David, her two sons Miles and Nolan, and the family’s two dogs. Through her own work and experience as a client, she knows what’s important collaboration, clear communication, creativity, quality, and efficiency. An interior designer herself, Rebecca is logical and insightful in sharing her design and build journey. See inside book for details.When client Rebecca Pountney reflects on her experience with InForm, it’s almost as though we’ve staged the conversation. Register your book for convenient access to downloads, updates, and/or corrections as they become available. The company's pioneering work in accelerated computing-a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI-is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others.
INFORM IT PC
NVIDIA's invention of the GPU sparked the PC gaming market. Build applications for natural language translation and image captioning.Master NLP with sequence-to-sequence networks and the Transformer architecture.Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences.Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis.See how DL frameworks make it easier to develop more complicated and useful neural networks.Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation.He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia.
INFORM IT CODE
Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. And he explains how a natural language translator and a system generating natural language descriptions of images. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT.
INFORM IT HOW TO
Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others-including those with no prior machine learning or statistics experience.Īfter introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. Learning Deep Learning is a complete guide to DL. Craig Clawson, Director, NVIDIA Deep Learning Instituteĭeep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." "Ekman uses a learning technique that in our experience has proven pivotal to successasking the reader to think about using DL techniques in practice. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA This book is timely and relevant towards accomplishing these lofty goals." "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources.
NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results
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