rasbt--python-machine-learning-book
wehub-resource-sync
18 行
653 B
Markdown
18 行
653 B
Markdown
Sebastian Raschka, 2015
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Python Machine Learning - Code Examples
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## Chapter 13 - Parallelizing Neural Network Training with Theano
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- Building, compiling, and running expressions with Theano
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- What is Theano?
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- First steps with Theano
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- Configuring Theano
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- Working with array structures
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- Wrapping things up – a linear regression example
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- Choosing activation functions for feedforward neural networks
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- Logistic function recap
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- Estimating probabilities in multi-class classification via the softmax function
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- Broadening the output spectrum by using a hyperbolic tangent
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- Training neural networks efficiently using Keras
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- Summary |