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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Lisa B.
Lexington, US
★★★★★ 5
Good strong forks
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I was looking for some good, strong forks for our office breakroom. Strong enough for Texas BBQ or anything else we might throw at them. These forks can handle the job! The spoons and knives are also very good, and I also order our10 and 16 oz paper coffee cups and lids from Comfy Package. Good products at a good price - hard to find!
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Chicago Gal
Alexandria, US
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Worth it Forks
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These are great and they arrived on time.
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12mermaids
Carnegie, US
★★★★★ 4
Very Sturdy Forks
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These forks are very sturdy and similar in quality to Dixie heavyweight forks. They are hard plastic, not maleable, so they hold up well to hot food and can be used to "cut" foods such as lasagna. Good product.
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cindy mitzmacher
Omaha, US
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Good product not “comfy” package
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Sturdy forks but be careful when opening. Amazon package and product box were damaged. A mess.
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The technician and crafter
Alexandria, US
★★★★★ 5
Two packs no breaks
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I've ordered two packs of these now for lunch. Over the course of 2 years. Works very well. Never had a fork break. Biggest complaint with other brands is I've had forks break.
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Reviewed in the United States on February 21, 2024

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