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Название: Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence
Год: 2018
Издатель: Springer International Publishing
Язык: english
Кол-во страниц: 166
Формат: PDF
Описание:
This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional networks, LSTMs, Word2vec, RBMs, DBNs, neural Turing machines, memory networks and autoencoders. Numerous examples in working Python code are provided throughout the book, and the code is also supplied separately at an accompanying website.
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Название: Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence
Год: 2018
Издатель: Springer International Publishing
Язык: english
Кол-во страниц: 166
Формат: PDF
Описание:
This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional networks, LSTMs, Word2vec, RBMs, DBNs, neural Turing machines, memory networks and autoencoders. Numerous examples in working Python code are provided throughout the book, and the code is also supplied separately at an accompanying website.
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