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Jon Krohn

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Jon Krohn

PyTorch: From Zero to Hero, with Luka Anicin

Added on September 18, 2024 by Jon Krohn.

Today's episode is on Python's most popular auto-differentiation library, PyTorch, and how you can use it to design, train and deploy deep neural nets, including LLMs. Acclaimed PyTorch instructor Luka Anicin is our guide.

Luka:

  • Is one of Udemy’s all-time bestselling instructors on A.I.; over 500,000 students have taken his courses.

  • His latest course, available exclusively at SuperDataScience.com, is called “PyTorch: From Zero to Hero”.

  • CEO of full-lifecycle A.I. consultancy Datablooz.

  • Holds a Bachelor’s in Computer Science, a Master’s in Data Science and is nearing completion of his PhD in Applied A.I.

Today’s episode will probably appeal most to hands-on practitioners like data scientists, software developers and ML engineers.

In it, Luka details:

  • What the popular Python library PyTorch is for.

  • Why you would select PyTorch over TensorFlow or Scikit-learn.

  • The tensor building blocks PyTorch provides for designing, training and deploying state-of-the-art deep neural networks, including Large Language Models (LLMs).

  • His top tips for accurate and efficient deep learning.

  • Guidance on PyTorch portfolio projects.

  • Real-world PyTorch case-studies from his experience leading an A.I. consultancy.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

In Data Science, Podcast, SuperDataScience, YouTube Tags superdatascience, machine learning, deep learning, pytorch, llms
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