Deep learning is one of today’s hottest fields. This approach to machine learning is achieving breakthrough results in some of today’s highest profile applications, in organizations ranging from Google to Tesla, Facebook to Apple. Thousands of technical professionals and students want to start leveraging its power, but previous books on deep learning have often been non-intuitive, inaccessible, and dry. In Deep Learning Illustrated, three world-class instructors and practitioners present a uniquely visual, intuitive, and accessible high-level introduction to the techniques and applications of deep learning. Packed with vibrant, full-color illustrations, it abstracts away much of the complexity of building deep learning models, making the field more fun to learn, and accessible to a far wider audience. Part I’s high-level overview explains what Deep Learning is, why it has become so ubiquitous, and how it relates to concepts and terminology such as Artificial Intelligence, Machine Learning, Artificial Neural Networks, and Reinforcement Learning. These opening chapters are replete with vivid illustrations, easy-to-grasp analogies, and character-focused narratives. Building on this foundation, the authors then offer a practical reference and tutorial for applying a wide spectrum of proven deep learning techniques. Essential theory is covered with as little mathematics as possible, and illuminated with hands-on Python code. Theory is supported with practical “run-throughs” available in accompanying Jupyter notebooks, delivering a pragmatic understanding of all major deep learning approaches and their applications: machine vision, natural language processing, image generation, and videogaming. To help readers accomplish more in less time, the authors feature several of today’s most widely-used and innovative deep learning libraries, including TensorFlow and its high-level API, Keras; PyTorch, and the recently-released high-level Coach, a TensorFlow API that abstracts away the complexity typically associated with building Deep Reinforcement Learning algorithms.
✔ Author(s): Jon Krohn,Grant Beyleveld,Aglaé Bassens
✔ Title: Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence (Addison-Wesley Data & Analytics Series)
✔ Rating : 4.5 out of 5 base on (206 reviews)
✔ ISBN-10: 0135116694
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about Deep Learning Illustrated by Jon Krohn
Alannah Moore
Experience a heartwarming journey of self-discovery and love in this beautifully written novel. The protagonist's struggles and triumphs are portrayed with incredible empathy. Richly developed characters and a compelling plot make the story unforgettable. The emotional depth of the narrative resonates long after the book is closed. It's a touching tale that celebrates the human spirit. Perfect for readers seeking an uplifting read.
Byrdie Bartlett
Discover the magic of first love and self-discovery in this enchanting coming-of-age story. The author's lyrical prose and relatable characters create a heartwarming narrative. Each chapter explores the joys and challenges of growing up with sensitivity and insight. The emotional journey is both poignant and uplifting. It's a story that resonates with readers of all ages. Ideal for fans of young adult fiction.
Keaton Holloway
Experience the emotional journey of a character discovering their true self in this moving novel. The author's empathetic writing and rich character development create a deeply resonant narrative. Each chapter explores themes of identity, acceptance, and love with sensitivity. The plot's twists and turns keep you engaged from start to finish. It's a heartwarming and thought-provoking read. Perfect for readers who enjoy stories about personal growth and self-discovery.
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