Data Science & Developer Roadmaps with Chat & Free Learning Resources

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 Although it is no longer actively maintained, Theano remains a foundational tool in machine learning and data science, often used in conjunction with higher-level libraries like Keras and Lasagne for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

 Machine Learning Mastery

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...

📚 Read more at Machine Learning Mastery
🔎 Find similar documents

Hands-On Theano: One of the Most Powerful Scientific Tools for Python

 Towards AI

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…

📚 Read more at Towards AI
🔎 Find similar documents

Profiling Theano function

 Theano Tutorial

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...

📚 Read more at Theano Tutorial
🔎 Find similar documents

Derivatives in Theano

 Theano Tutorial

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...

📚 Read more at Theano Tutorial
🔎 Find similar documents

Debugging Theano: FAQ and Troubleshooting

 Theano Tutorial

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...

📚 Read more at Theano Tutorial
🔎 Find similar documents

Multi cores support in Theano

 Theano Tutorial

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...

📚 Read more at Theano Tutorial
🔎 Find similar documents

Printing/Drawing Theano graphs

 Theano Tutorial

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...

📚 Read more at Theano Tutorial
🔎 Find similar documents

Introducing SAYN: A Simple Yet Powerful Data Processing Framework

 Towards Data Science

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…...

📚 Read more at Towards Data Science
🔎 Find similar documents

Introduction to the “fresh” Framework

 Better Programming

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 ...

📚 Read more at Better Programming
🔎 Find similar documents

Design an Easy-to-Use Deep Learning Framework

 Towards Data Science

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...

📚 Read more at Towards Data Science
🔎 Find similar documents

5 Levels of Difficulty — Bayesian Gaussian Random Walk with PyMC3 and Theano

 Towards Data Science

State-Space Models in Bayesian Time Series Analysis with PyMC3

📚 Read more at Towards Data Science
🔎 Find similar documents

A tale of two frameworks

 Towards Data Science

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…

📚 Read more at Towards Data Science
🔎 Find similar documents