Conv2D Layer | Computer Vision with Keras p.3

[@vadimcosman5480]

Great content, was easy to understand the way it works. Thank you very much!

[@dev.lionel]

Conv2d and convolution in general well understood. Thanks

[@mateusmedeiros8025]

thanks for your help, you explain very well; say hello to Brazil!

[@ilkay3359]

thank you for videos sir, best wishes to you.

[@rushalbutala]

great video very helpful thanks!!!

[@Azlafcokis]

For identification and verification processes, please show us how to convert image files into npy, npz or pickle. Also please make some videos about verification to calculate equal error rate, receiver operator characteristics (roc) curve. Best wishes

[@FawazAlghfari]

great👏

[@armankarimipy]

hi, do you know how Feature Mapping and Filter Viz. in YOLOv2 by Keras?