Python for Finance Cookbook - Second Edition

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Deep Learning in Finance

In recent years, we have seen many spectacular successes achieved by means of deep learning techniques. Deep neural networks have been successfully applied to tasks in which traditional machine learning algorithms could not succeed—large-scale image classification, autonomous driving, and superhuman performance when playing traditional games such as Go or classic video games (from Super Mario to StarCraft II). Almost yearly, we can observe the introduction of a new type of network that achieves state-of-the-art (SOTA) results and breaks some kind of performance record.

With the constant improvement in commercially available Graphics Processing Units (GPUs), the emergence of freely available processing power involving ...