Python Deep Learning – Second Edition: Exploring deep learning…


Python Deep Learning – Second Edition: Exploring deep learning techniques, neural network architectures and GANs with PyTorch, Keras and TensorFlow
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Deep Learning For Nlp And Speech Recognition

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Deep Learning For Nlp And Speech Recognition

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Introduction to Deep Learning by Eugene Charniak

Introduction to Deep Learning by Eugene Charniak
Requirements: .PDF reader, 16,3 MB
Overview: 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. “I find I learn computer science material best by sitting down and writing programs,” the author writes, and the book reflects this approach. Each chapter includes a programming project, exercises, and references for further reading. An early chapter is devoted to Tensorflow and its interface with Python, the widely used programming language. Familiarity with linear algebra, multivariate calculus, and probability and statistics is required, as is a rudimentary knowledge of programming in Python. The book can be used in both undergraduate and graduate courses; practitioners will find it an essential reference.
Genre: Non-Fiction > Tech & Devices

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Protocol Deep Dive Network Address Translation (NAT)

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The Deep Abiding by Sean Black

Deep Learning for Search by Tommaso Teofili

Deep Learning for Search by Tommaso Teofili
Requirements: .PDF reader, 10 MB
Overview: Deep Learning for Search teaches you to improve your search results with neural networks. You’ll review how DL relates to search basics like indexing and ranking. Then, you’ll walk through in-depth examples to upgrade your search with DL techniques using Apache Lucene and Deeplearning4j. As the book progresses, you’ll explore advanced topics like searching through images, translating user queries, and designing search engines that improve as they learn!
Genre: Non-Fiction > Tech & Devices

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Udemy – Crash Course in Deep Learning with Google TensorFlow / Python

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Crash Course in Deep Learning with Google TensorFlow Python

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Advanced AI: Deep Reinforcement Learning in Python

Advanced AI: Deep Reinforcement Learning in Python

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Advanced AI: Deep Reinforcement Learning in Python

Advanced AI: Deep Reinforcement Learning in Python

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Light Rain in Deep Forest by Greg Cetus

Light Rain in Deep Forest: Nature Sounds for Relaxation by Greg Cetus
Requirements: .MP3 reader, 33.17 MB
Overview: Gentle patter of rainfall in deep forest transports you immediately to another world with clean oxygen rich forest air and healing vibrations of water droplets. This recording will set a perfect background for relaxation, meditation or quiet office work.
Genre: Audiobooks > Non-Fiction

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F# Deep Dives

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Deep Hope by Diane Eshin Rizzetto

Deep Hope: Zen Guidance for Staying Steadfast When the World Seems Hopeless by Diane Eshin Rizzetto
Requirements: .ePUB reader, 2.7 MB
Overview: From a respected Zen teacher, a contemporary take on the paramitas, six traditional practices for cultivating compassion and wisdom-a path of deep hope in the face of personal trouble and societal crisis.

Amidst the barrage of the daily news cycle and the tumult of our personal lives, it may seem natural to contract out of fear or anxiety. But is there a way to face our lives and the world without closing off our hearts? There is such a path, says Zen teacher Diane Rizzetto. It can be reached through the teachings of the Buddhist paramitas or "perfections"-giving and receiving, taking skillful action, practicing patience, engaging effort, meditating, and seeing clearly. Filled with stories, teachings, student questions, and practices, Deep Hope demonstrates the possibility of living with a hopefulness that is grounded in the present moment-a practice of spiritual nourishment and deepening wisdom.
Genre: Non-Fiction > Faith, Beliefs & Philosophy

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