PyTorch 1.0 vs TensorFlow 2.0
44:20 Share

Chris and Daniel are back together in another news/updates show. They discuss PyTorch v1.0, some disturbing uses of AI for tracking social credit, and learning resources to get you started with machine learning.

Leave us a comment)

Changelog++) members support our work, get closer to the metal, and make the ads disappear. Join today!

Sponsors:

• DigitalOcean) – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days.

• Fastly) – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com).

• Rollbar) – We catch our errors before our users do because of Rollbar. Resolve errors in minutes, and deploy your code with confidence. Learn more at rollbar.com/changelog).

• Linode) – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelog)

Featuring:

• Chris Benson – Twitter), GitHub), LinkedIn), Website)

• Daniel Whitenack – Twitter), GitHub), Website)

Show Notes:

News from Daniel:

• Introducing PyTorch across Google cloud)

• VentureBeat article about PyTorch v1.0)

• Google’s general recommended practices for AI)

• Deep learning made easier with transfer learning)

• Decision tree visualization)

• Anatomy of an AI system)

• It’s hacktoberfest!)

• Conference calls:

• AMLD)

• O’Reilly AI NY)

• CPVR )

News from Chris:

• TensorFlow RoadMap, TensorFlow 2)

• Leave No Dark Corner)

• The 5 Steps To Build A Business’s Deep Learning Workflow)

• The Pentagon is investing $2 billion into artificial intelligence)

• Google Dataset Search)

• What do you get when you mix sugar water, 3D printing and deep learning?)

Learning resources:

• Udacity Machine Learning Course by GA Tech)

• Machine learning cheat sheets)

Something missing or broken? PRs welcome!)