INTRODUCTION TO ARTIFICIAL INTELLIGENCE BY EUGENE CHARNIAK PDF

Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and other fundamental concepts and techniques. Students and practitioners learn the basics of deep learning by working through programs in Tensorflow, an open-source machine learning framework.

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BC847 SOT23 PDF

Introduction Artificial Intelligence by Eugene Charniak Drew Mcdermott

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SMALL GIANTS BO BURLINGHAM PDF

Introduction to Artificial Intelligence

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