Thanks for this vid. I'm currently looking at kernel functions, in particular radial basis functions. It would be nice if there was a good a visual intution for this function and maybe in comparison to the linear kernel function. And it's application to deep learning
Well, input data should be normalized in preprocessing. Hopefully I didn't say otherwise in the video. However, you can't normalize the data coming into a certain layer beforehand since you don't know what the nn weights would be at a certain step during traininng.
Simple, short, and easy to understand, thank you!
Thank! Happy to hear that! :)
Short and clear explanation. Thanks!
Glad it was helpful! Thanks!
Thanks for this vid. I'm currently looking at kernel functions, in particular radial basis functions. It would be nice if there was a good a visual intution for this function and maybe in comparison to the linear kernel function. And it's application to deep learning
Noted, thanks for the suggestion! Most probably I will create a short series as I did for object detection. :)
Very good video, clearly explained, thank you.
Thanks! Glad it was helpful! :)
Interesting ! Very good video! But why normalize the data in batchs and not previously in pre-processing ?
Well, input data should be normalized in preprocessing. Hopefully I didn't say otherwise in the video. However, you can't normalize the data coming into a certain layer beforehand since you don't know what the nn weights would be at a certain step during traininng.
@@datamlistic Great explanation! I got it, thank you so much.
@@rodrigo100kk Glad I could help! :)
@@datamlistic Your channel is pretty awesome. Keep up the great work!
@@rodrigo100kk Thank you! I will! :)