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Comparing Elixir and Python for Simple Neural Networks

Offered By: Code Sync via YouTube

Tags

Elixir Courses Machine Learning Courses Python Courses Neural Networks Courses TensorFlow Courses Keras Courses GPU Computing Courses CIFAR-10 Courses

Course Description

Overview

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Explore a comparative analysis of Elixir and Python in the context of simple neural networks in this 38-minute conference talk from Code BEAM America 2022. Dive into the capabilities of Numerical Elixir (Nx), a tensor operations library for Elixir, and its potential as an alternative to Python's established machine learning ecosystem. Examine the development experience and performance differences between Elixir with Nx and Python with Keras when training convolutional neural networks using MNIST and CIFAR-10 datasets. Gain insights into the new Nx library for Elixir, understand resource utilization and training time comparisons between Nx and Keras, and discover the contrasting development experiences in both languages. Perfect for developers and data scientists interested in expanding their knowledge of machine learning tools and languages beyond the Python ecosystem.

Syllabus

Comparing Elixir and Python when working with Simple Neural Networks - A. Neto & L. C. Tavano


Taught by

Code Sync

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