34 min listen
SE Radio 594: Sean Moriarity on Deep Learning with Elixir and Axon
FromSoftware Engineering Radio - the podcast for professional software developers
SE Radio 594: Sean Moriarity on Deep Learning with Elixir and Axon
FromSoftware Engineering Radio - the podcast for professional software developers
ratings:
Length:
58 minutes
Released:
Dec 14, 2023
Format:
Podcast episode
Description
Sean Moriarity, creator of the Axon deep learning framework, co-creator of the Nx library, and author of Machine Learning in Elixir and Genetic Algorithms in Elixir, published by the Pragmatic Bookshelf, speaks with SE Radio host Gavin Henry about what deep learning (neural networks) means today. Using a practical example with deep learning for fraud detection, they explore what Axon is and why it was created. Moriarity describes why the Beam is ideal for machine learning, and why he dislikes the term “neural network.” They discuss the need for deep learning, its history, how it offers a good fit for many of today’s complex problems, where it shines and when not to use it. Moriarity goes into depth on a range of topics, including how to get datasets in shape, supervised and unsupervised learning, feed-forward neural networks, Nx.serving, decision trees, gradient descent, linear regression, logistic regression, support vector machines, and random forests. The episode considers what a model looks like, what training is, labeling, classification, regression tasks, hardware resources needed, EXGBoost, Jax, PyIgnite, and Explorer. Finally, they look at what’s involved in the ongoing lifecycle or operational side of Axon once a workflow is put into production, so you can safely back it all up and feed in new data. Brought to you by IEEE Computer Society and IEEE Software magazine. This episode sponsored by Miro.
Released:
Dec 14, 2023
Format:
Podcast episode
Titles in the series (100)
Episode 5: Model-Driven Software Development Pt. 1: In this Episode, Eberhard and Markus provide an introduction to Model-Driven Software Development. Since the discussion turned out to be too long, we separated things into two episodes, thus Episode 6 will be the second part of this discussion. by Software Engineering Radio - the podcast for professional software developers