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OverviewFull Product DetailsAuthor: Amita Kapoor , Antonio Gulli , Sujit Pal , Francois CholletPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited Edition: 3rd Revised edition ISBN: 9781803232911ISBN 10: 1803232919 Pages: 698 Publication Date: 04 November 2022 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Contents Neural Networks Foundations with TF Regression and Classification Convolutional Neural Networks Word Embeddings Recurrent Neural Network Transformers Unsupervised Learning Autoencoders Generative Models Self-Supervised Learning Reinforcement Learning Probabilistic TensorFlow An Introduction to AutoML The Math Behind Deep Learning Tensor Processing Unit Other Useful Deep Learning Libraries Graph Neural Networks Machine Learning Best Practices TensorFlow 2 Ecosystem Advanced Convolutional Neural NetworksReviewsAuthor InformationDr. Amita Kapoor is an accomplished AI consultant and educator with over 25 years of experience. She has received international recognition for her work, including the DAAD Fellowship and the Intel Developer Mesh AI Innovator Award. She is a highly respected scholar in her field, with over 100 research papers and several best-selling books on deep learning and AI. As an Associate Professor at the University of Delhi and a member of the Board of Directors for the non-profit Neuromatch Academy, Amita is dedicated to democratizing AI education. As the founder of NePeur, she provides data analytics and AI consultancy services to. Additionally, she teaches online classes on data science and AI at the University of Oxford. Antonio Gulli has a passion for establishing and managing global technological talent for innovation and execution. His core expertise is in cloud computing, deep learning, and search engines. Currently, Antonio works for Google in the Cloud Office of the CTO in Zurich, working on Search, Cloud Infra, Sovereignty, and Conversational AI. Sujit Pal is a Technology Research Director at Elsevier Labs, an advanced technology group within the Reed-Elsevier Group of companies. His interests include semantic search, natural language processing, machine learning, and deep learning. At Elsevier, he has worked on several initiatives involving search quality measurement and improvement, image classification and duplicate detection, and annotation and ontology development for medical and scientific corpora. Tab Content 6Author Website:Countries AvailableAll regions |
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