Don't hope to get rid of books (Umberto Eco)
+371 27000041, +371 27000045
(on working days 9:00-17:00 latvian)
+371 27000041
+371 27000045

(on working days 10:00-17:00)

Mathematics and architecture of deep learning

49.99 €
The only thing available 2
Mathematics and architecture of deep learning
49.99 €
In basket
Find out what's going on inside the black box! To use deep learning, you'll need to prepare your data, select the right model, train it, evaluate its quality and accuracy, and consider handling uncertainty and variability in the output of the deployed solution. This book introduces you step-by-step to the core mathematical concepts you'll need as a data scientist—vector calculus, linear algebra, and Bayesian inference—from a deep learning perspective.
The authors explain the mathematics, theory, and principles of building deep learning models, then demonstrate how to apply this theory in practice, using Python code snippets with detailed comments. This book takes you from the fundamentals of algebra, calculus, and statistics to modern deep learning architectures, informed by the latest research.
See also:

You might be interested:

Excel 2019 Библия пользователя
Information technology
Excel 2019 User's Bible
Alexander Michael, Kusleika Richard, Wokenbach John
99.99 €
In basket
Компьютерные науки. Базовый курс
Information technology
Computer Science: Basic Course
Brookshire J. Glenn, Dennis Breeloff
99.99 €
In basket
Java для чайников
Information technology
Java for Dummies
Byrd Barry
39.99 €
In basket