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OverviewFull Product DetailsAuthor: Dr. Pablo Rivas , Laura MontoyaPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781838640859ISBN 10: 1838640851 Pages: 432 Publication Date: 18 September 2020 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock  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 Introduction to Machine Learning Setup and Introduction to Deep Learning Frameworks Preparing Data Learning from Data Training a Single Neuron Training Multiple Layers of Neurons Autoencoders Deep Autoencoders Variational Autoencoders Restricted Boltzmann Machines Deep and Wide Neural Networks Convolutional Neural Networks Recurrent Neural Networks Generative Adversarial Networks Final Remarks on The Future of Deep LearningReviewsAuthor InformationDr. Pablo Rivas is an assistant professor of computer science at Baylor University in Texas. He worked in industry for a decade as a software engineer before becoming an academic. He is a senior member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center performing research. He is an ally of women in technology, a deep learning evangelist, machine learning ethicist, and a proponent of the democratization of machine learning and artificial intelligence in general. He teaches machine learning and deep learning. Dr. Rivas is a published author and all his papers are related to machine learning, computer vision, and machine learning ethics. Dr. Rivas prefers Vim to Emacs and spaces to tabs. Tab Content 6Author Website:Countries AvailableAll regions |
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