Learn about neural network hyperparameters visually

[@khan54717]

Already subscribed. It's already a great decision. You are my Deep learning guru. Stay blessed.

[@caiyu538]

Thumb up. Always follow your excellent tutorials.

[@ajay0909]

Thank you sir, this video is about time. I was thinking about the parameters for my model. This will help me a lot and will definitely save my time.

[@laxmikantnishad6902]

Thanks sir, i am sure this will be the best understanding site for me 🙂

[@hasnainalishah8619]

Hello Mr Sreeni.
Can you please upload a video of converting 2D Attention Gate ResU-net to 3D Attention Gate ResU-net from your video 226? I tried to convert it but got some problems in Attention Block.

[@japancryptotrain_yt]

3315

[@junaidlatif2881]

Amazing

[@falahfakhri2729]

Thanks for your nice video, but still tuning parameters for cnn and unet a bit complicated using python, would you please to make a video explaining so using tensorflow.

[@teamtom]

Thank you for this video; not clear though what Features mean here: X1, X2, X12, X22, etc. Can you please explain or give me a hint

[@Alyssa-tn2iy]

Thanks! :)

[@XX-vu5jo]

I think he's out of ideas to upload. LOL!