SKU: 8467670522

Introduction to Deep Learning

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Introduction to Deep LearningA project based guide to the basics of deep learning. This concise, project driven guide to deep learning immerses readers in a series of practical programming projects designed to illuminate the application of deep learning across diverse areas of artificial intelligence, including computer vision, natural language processing, and reinforcement learning. Authored a seasoned artificial intelligence researcher specializing in natural language

A project-based guide to the basics of deep learning.This concise, project-driven guide to deep learning immerses readers in a series of practical programming projects designed to illuminate the application of deep learning across diverse areas of artificial intelligence, including computer vision, natural-language processing, and reinforcement learning. Authored a seasoned artificial intelligence researcher specializing in natural-language processing, the book systematically covers fundamental concepts and techniques. Readers will explore feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, and unsupervised models. actively engaging with programs in Tensorflow, an open-source machine learning framework, students and practitioners alike will gain a hands-on understanding of deep learning strategies. The author's philosophy, "I find I learn computer science material best sitting down and writing programs," underscores the book's practical, experiential approach, ensuring a deeper and more intuitive grasp of the subject matter.Each chapter incorporates a programming project to solidify learning, exercises to test comprehension, and references for further exploration. An introductory chapter is dedicated to Tensorflow and its seamless integration with Python, a widely adopted programming language. A foundation in linear algebra, multivariate calculus, and probability and statistics is expected, alongside a basic familiarity with Python programming. This resource is suitable for both undergraduate and graduate courses, while practitioners will value it as an essential reference for implementing effective deep learning strategies.

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SKU: 8467670522

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Karen
Lake Worth, US
★★★★★ 1
Unsafe Toy
Color: Pliers, Size: 7 Inch
A waste of money for chewers. Within 10 minutes pieces started breaking off. Unsafe.
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Reviewed in the United States on June 12, 2026
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Carmen Langton-Anson
Phoenix, US
★★★★★ 5
Good toy for tough chewer.
Color: Hammer, Size: 7 Inch
My dog loved this toy. I would purchase again. Was a pretty tough toy, lasted longer than most.
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Reviewed in the United States on March 29, 2026
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Nathan R
Los Angeles, US
★★★★★ 5
Durable
Color: Hammer, Size: 7 Inch
Even my monster hasn't been able to chew through these in a few months, and he has destroyed one of the black Kongs in the same time frame.
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Reviewed in the United States on May 24, 2026
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Darling
San Leandro, US
★★★★★ 5
Tough to destroy for aggressive chewers
Color: Wrench, Size: 8 Inch
My doggie chewed out stairscase, the sofa, my shoes, and would destroy anything labeled pet “tough” toys. This stopped her from destroying!! Soo cool and cleans her teeth too. I got this one as gift for other retriever fams! Super cool. Doesn’t smell bad and its lightweight but durable like crazy.
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Reviewed in the United States on January 30, 2026
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Amazon Customer
Belleville, US
★★★★★ 5
Great Chew Toy
Color: Wrench, Size: 8 Inch
An excellent chew toy for a very hearty chewer.
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Reviewed in the United States on April 6, 2026

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