Book (Practical) Information science Introduction to Deep Learning from AI Security] Introduction

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Information Science
While the scope of application of deep learning has expanded and the accuracy of image recognition and voice recognition has increased, there are concerns about attacks that send manipulated images to models and cause false classification results. It is a very active research area outside Japan. For example, as Adversarial Examples (Adversarial example), the phenomenon that adds a little bit of noise to the image of panda (Gibbon) to misrecognize it as Gibbon (Gibbon) is famous. In order to understand these, this book explains from the basics of deep learning to how to implement it by hands-on. Deep learning is perfect for those who feel it is difficult because it contains mathematical expressions.