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theano+framework

Theano is a powerful Python library designed for efficient numerical computation, particularly in the realm of deep learning. It serves as a foundational framework that allows developers to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays. Theano can leverage both CPU and GPU resources, making it suitable for handling complex computations efficiently. While it can be used directly, many developers prefer to utilize wrapper libraries like Keras or Lasagne, which simplify the process of building deep learning models by abstracting away much of Theano’s syntax. Despite no longer being actively maintained, Theano remains a valuable tool in machine learning and data science.

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...

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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...

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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…

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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...

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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...

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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...

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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...

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Getting Started with Deno: Nodejs Alternative

 Towards Data Science

Deno is a new platform for writing applications using JavaScript and TypeScript. It is based on the V8 JavaScript engine and the Rust. In this article, I will explore some of Deno’s features.

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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 ...

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Framework

 Codecademy

Frameworks are tools that provide reusable boilerplate code and functionality for building applications. They are commonly associated with a specific programming language and are suited to different ...

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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…...

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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…

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