theano学习文档.pdf

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theano Documentation Release 0.8.0 LISA lab, University of Montreal March 24, 2016

1 News 2 Download 3 Citing Theano 4 Documentation 5 Community 6 Help! 6.1 How to Seek Help . . 6.2 How to provide help . . . . . . . . . . . Python Module Index Index CONTENTS 3 5 7 9 11 13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 501 503 i

theano Documentation, Release 0.8.0 Theano is a Python library that allows you to deﬁne, optimize, and evaluate mathematical expressions in- volving multi-dimensional arrays efﬁciently. Theano features: • tight integration with NumPy – Use numpy.ndarray in Theano-compiled functions. • transparent use of a GPU – Perform data-intensive calculations up to 140x faster than with CPU.(ﬂoat32 only) • efﬁcient symbolic differentiation – Theano does your derivatives for function with one or many inputs. • speed and stability optimizations – Get the right answer for log(1+x) even when x is really tiny. • dynamic C code generation – Evaluate expressions faster. • extensive unit-testing and self-veriﬁcation – Detect and diagnose many types of errors. Theano has been powering large-scale computationally intensive scientiﬁc investigations since 2007. But it is also approachable enough to be used in the classroom (University of Montreal’s deep learning/machine learning classes). CONTENTS 1

theano Documentation, Release 0.8.0 2 CONTENTS

CHAPTER ONE NEWS • Theano 0.8 was released 21th March 2016. Everybody is encouraged to update. • Multi-GPU. • We added support for CuDNN v4. • We added support for CNMeM to speed up the GPU memory allocation. • Theano 0.7 was released 26th March 2015. Everybody is encouraged to update. • We support cuDNN if it is installed by the user. • Open Machine Learning Workshop 2014 presentation. • Colin Raffel tutorial on Theano. • Ian Goodfellow did a 12h class with exercises on Theano. • New technical report on Theano: Theano: new features and speed improvements. • HPCS 2011 Tutorial. We included a few ﬁxes discovered while doing the Tutorial. You can watch a quick (20 minute) introduction to Theano given as a talk at SciPy 2010 via streaming (or downloaded) video: Transparent GPU Computing With Theano. James Bergstra, SciPy 2010, June 30, 2010. 3

theano Documentation, Release 0.8.0 4 Chapter 1. News

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