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theano-framework
Theano is a powerful Python library designed for efficient numerical computation, particularly in the realm of deep learning. Developed by the LISA group at the University of Montreal, it serves as a compiler for mathematical expressions, enabling developers to execute code on both CPUs and GPUs. Theano simplifies the creation of deep learning models by allowing users to define symbolic expressions, which can be compiled and optimized for performance. Although it is no longer actively maintained, Theano remains a foundational tool in machine learning and data science, often used in conjunction with higher-level libraries like Keras and Lasagne for enhanced usability.
Introduction to the Python Deep Learning Library Theano
Last Updated on August 19, 2019 Theano is a Python library for fast numerical computation that can be run on the CPU or GPU. It is a key foundational library for Deep Learning in Python that you can u...
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Hands-On Theano: One of the Most Powerful Scientific Tools for Python
In my previous article, I mentioned 13 Data Science libraries for Python and I also talked about Theano. But that was a brief introduction, today we will talk more specifically about Theano, its…
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Profiling Theano function
Profiling Theano function Note This method replace the old ProfileMode. Do not use ProfileMode anymore. Besides checking for errors, another important task is to profile your code in terms of speed a...
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Derivatives in Theano
Derivatives in Theano Computing Gradients Now let’s use Theano for a slightly more sophisticated task: create a function which computes the derivative of some expression y with respect to its paramet...
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Debugging Theano: FAQ and Troubleshooting
Debugging Theano: FAQ and Troubleshooting There are many kinds of bugs that might come up in a computer program. This page is structured as a FAQ. It provides recipes to tackle common problems, and i...
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Multi cores support in Theano
Multi cores support in Theano Convolution and Pooling Since Theano 0.9dev2, the convolution and pooling are parallelized on CPU. BLAS operation BLAS is an interface for some mathematical operations b...
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Printing/Drawing Theano graphs
Printing/Drawing Theano graphs Theano provides the functions theano.printing.pprint() and theano.printing.debugprint() to print a graph to the terminal before or after compilation. pprint() is more c...
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Introducing SAYN: A Simple Yet Powerful Data Processing Framework
So, what is SAYN? In simple terms, SAYN is an open source data processing framework. We (the team at 173Tech) have built it to be the simplest framework whilst maintaining full flexibility. Users can…...
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Introduction to the “fresh” Framework
Meet Deno’s fresh — a new web framework There is been a lot of frameworks and libraries being used in modern-day JavaScript and TypeScript development. Furthermore gets added every next month. Fresh ...
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Design an Easy-to-Use Deep Learning Framework
The three software design principles I learned as an open-source contributor Photo by Sheldon on Unsplash Deep learning frameworks are extremely transitory. If you compare the deep learning framework...
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5 Levels of Difficulty — Bayesian Gaussian Random Walk with PyMC3 and Theano
State-Space Models in Bayesian Time Series Analysis with PyMC3
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A tale of two frameworks
If you’re like me you have a favourite framework you gravitate towards in every project. For me, it’s Tensorflow, particularly since they better integrated Keras in tf2.0. But every time another…
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