Scaling video processing with Deep Learning - ML 033

In this episode we talk with Serhii Maksymenko about how to scale video processing with DL frameworks. From buffered asynchronous processing to how to get started with projects of this complexity, Serhii discusses his project work and unique take on how to build these systems without breaking the bank. Panel

• Ben Wilson
• Charles Max Wood
• Francois Bertrand

Guest

• Serhii Maksymenko 

Sponsors

• Dev Influencers Accelerator

Links

• Deep Learning-based Real-time Video Processing
• LinkedIn: Serhii Maksymenko

Picks

• Ben- MLOps Community
• Ben- Hands-on Scala Programming
• Ben- Sixteen Different Flavours of Hell 
• Charles- Who Now How
• Charles- Masters Swim Team
• Charles-  As a Man Thinketh
• Charles- Psycho-Cybernetics
• Francois- Featuretools
• Francois- Comet
• Serhii- Atomic Habits

Contact Ben:

• Databricks
• GitHub | BenWilson2/ML-Engineering
• GitHub | databrickslabs/automl-toolkit
• LinkedIn: Benjamin Wilson

Contact Charles:

• Devchat.tv
• DevChat.tv | Facebook
• Twitter: DevChat.tv ( @devchattv )

Contact Francois:

• Francois Bertrand
• GitHub | fbdesignpro/sweetviz

Advertising Inquiries: https://redcircle.com/brands

Privacy & Opt-Out: https://redcircle.com/privacy

Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.