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Grokking Deep Learning
Grokking Deep Learning
Summary

Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.

Purchase of the print book
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Economics for Policy Makers: A Guide for Non-Economists
Economics for Policy Makers: A Guide for Non-Economists

Certain key economic decisions taken by organizations and indeed countries are often not made by economists but by businessmen, trade unionists, politicians and policy-makers. Those who employ people, those who represent workers, those who make laws and those who elect them need economics but may have little time or desire to study...

Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science)
Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science)

Artificial Intelligence (AI) has the definite goal of understanding intelligence and building intelligent systems. However, the methods and formalisms used on the way to this goal are not firmly set, which has resulted in AI consisting of a multitude of subdisciplines today. The difficulty in an introductory AI course lies in conveying...

SketchUp 7.1 for Architectural Visualization: Beginner's Guide
SketchUp 7.1 for Architectural Visualization: Beginner's Guide

Google SketchUp, the most popular architectural software package, is used by millions of architects and visualizers throughout the world. But what you may not know is that it's also the most powerful 3D design software on the market. With this book in hand and patented technology such as the PhotoMatch, Push-Pull, and Face-me components...

Formal Methods for Concurrency
Formal Methods for Concurrency

The aim of this work is to provide a practical introduction to the formal specification of concurrent and real-time systems. It is intended for those with some basic knowledge or experience of computing but does not assume knowledge of the particular problems of concurrent and real-time systems. It concentrates on one group of languages,...

Modelling and Reasoning with Vague Concepts
Modelling and Reasoning with Vague Concepts
Vagueness is central to the flexibility and robustness of natural language descriptions. Vague concepts are robust to the imprecision of our perceptions, while still allowing us to convey useful, and sometimes vital, information. The study of vagueness in Artificial Intelligence (AI) is therefore motivated by the desire to incorporate this...
Foundations of Dependable Computing: Paradigms for Dependable Applications
Foundations of Dependable Computing: Paradigms for Dependable Applications
Foundations of Dependable Computing: Paradigms for Dependable Applications, presents a variety of specific approaches to achieving dependability at the application level. Driven by the higher level fault models of Models and Frameworks for Dependable Systems, and built on the lower level abstractions implemented in a third companion book...
Digital Dice: Computational Solutions to Practical Probability Problems
Digital Dice: Computational Solutions to Practical Probability Problems

"Paul Nahin's Digital Dice is a marvelous book, one that is even better than his Duelling Idiots. Nahin presents twenty-one great probability problems, from George Gamow's famous elevator paradox (as corrected by Donald Knuth) to a bewildering puzzle involving two rolls of toilet paper, and he solves them all with the aid...

Foundations of Dependable Computing: Models and Frameworks for Dependable Systems
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems presents two comprehensive frameworks for reasoning about system dependability, thereby establishing a context for understanding the roles played by specific approaches presented in this book's two companion volumes. It then explores the range of models and...
Foundations of Dependable Computing: System Implementation
Foundations of Dependable Computing: System Implementation
Foundations of Dependable Computing: System Implementation, explores the system infrastructure needed to support the various paradigms of Paradigms for Dependable Applications. Approaches to implementing support mechanisms and to incorporating additional appropriate levels of fault detection and fault tolerance at the processor, network, and...
Stochastic Coalgebraic Logic (Monographs in Theoretical Computer Science. An EATCS Series)
Stochastic Coalgebraic Logic (Monographs in Theoretical Computer Science. An EATCS Series)

Coalgebraic logic is an important research topic in the areas of concurrency theory, semantics, transition systems and modal logics. It provides a general approach to modeling systems, allowing us to apply important results from coalgebras, universal algebra and category theory in novel ways. Stochastic systems provide important tools for...

Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)
Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)
Nowadays data accumulate at an alarming speed in various storage devices,
and so does valuable information. However, it is difficult to understand information
hidden in data without the aid of data analysis techniques, which
has provoked extensive interest in developing a field separate from machine
learning. This new field is
...
unlimited object storage image
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