December 2018
Beginner to intermediate
684 pages
21h 9m
English
Content preview from Hands-On Machine Learning for Algorithmic Trading
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How to use PyTorch 1.0
PyTorch has been developed at the Facebook AI research group led by Yann LeCunn and the first alpha version was released in September 2016. It provides deep integration with Python libraries such as NumPy that can be used to extend its functionality, strong GPU acceleration, and automatic differentiation using its autograd system. It provides more granular control than Keras through a lower-level API and is mainly used as a deep learning research platform but can also replace NumPy while enabling GPU computation.
It employs eager execution, in contrast to the static computation graphs used by, for example, Theano or TensorFlow. Rather than initially defining and compiling a network for fast but static execution, it ...
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