✨This talk was recorded at Code BEAM America 2022. If you're curious about our upcoming event, check https://codebebeamamerica.com ✨ With a wide range of libraries focused on the machine learning market, such as TensorFlow, NumPy, Pandas, Keras, and others, Python has made a name for itself as one of the main programming languages. In February 2021, José Valim and Sean Moriarity published the first version of Numerical Elixir (Nx), a library for tensor operations written in Elixir. Nx aims to allow the language to be a good choice for GPU-intensive operations. This talk aims to compare Python and Elixir when training convolutional neural networks using MNIST and CIFAR-10 datasets as examples, analyzing development experience, and performance difference. OBJECTIVES ✨Teach about the new Nx library for Elixir ✨Compare Nx and Keras by the use of resources and time to train similar neural networks ✨Talk about the experience of developing in both languages and how different this experience was. Let's keep in touch! Follow us on: 💥 Twitter: https://twitter.com/CodeBEAMio 💥 Facebook: https://www.facebook.com/CodeSyncGlobal 💥 Linkedin: https://www.linkedin.com/company/code-sync 💥 Mastodon: https://genserver.social/codesync