Convolutional Neural Networks | CNN | Kernel | Stride | Padding | Pooling | Flatten | Formula

What is Convolutional Neural Networks? What is the actual building blocks like Kernel, Stride, Padding, Pooling, Flatten? How these building blocks are help to reduce dimensionality with keeping all important feature. What is the formula to get output layer dimension? Convolutional Neural Networks | CNN | Kernel | Stride | Padding | Pooling | Explained by Python Code https://youtu.be/CNP2IAldEk8 Neural Networks - Feedforward Algorithm | Matrix Math behind | Forward Propagation in a Deep Network. https://youtu.be/vQP3szTWsRM Deep Learning Playlist https://www.youtube.com/playlist?list=PLIRnO_sdVuEfau_eJKVhiaLaqIXCT0F-_