Tutorial 115 - What is U-Net and how is it different from an autoencoder?

Code associated with these tutorials can be downloaded from here: github.com/bns...

[@splendus]

This whole series is a gem in the depths of youtube tutorials. The clear and concise explanations with appropriate repititions of already mentioned complex ideas finally gives me the feeling that I'm able to apply these concepts myself.

[@nayo7888]

Incredibly clear explanations. Thank you 🙏🏽

[@familywu3869]

Thank you very much, Professor.

[@venkatesanr9455]

Hi Sreeni Sir, Thanks for your highly informative content as usual. I have one doubt that whether it is possible to load the old model (may be trained models of tree-based approach/other traditional ML approaches) which is trained on our old data, and retrain the same model with our new data due to drift in our model predictions or change in the patterns of our new data. Kindly discusses on this and give inputs.

[@tilkesh]

Thank you very much.

[@eylulmood4830]

Ur awesome Sir thank you