Deep Learning with Keras Год издания: 2017 Автор: Antonio Gulli, Sujit Pal Издательство: Packt Publihing Ltd. ISBN: 9781787128422 Язык: Английский Формат: PDF/AZW3 Качество: Издательский макет или текст (eBook) Интерактивное оглавление: Да Количество страниц: 318 Исходники: GitHub Описание:
This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GAN). You will also explore non-traditional uses of neural networks as Style Transfer. Finally, you will look at Reinforcement Learning and its application to AI game playing, another popular direction of research and application of neural networks.
[ 2018-08-02 18:25 ]
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