Convolutional Neural Networks | CNN | Kernel | Stride | Padding | Pooling | Explained by Python Code

Explained all important building block of Convolutional Neural Networks through Keras Python code. 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 | Flatten | Formula    • Convolutional Neural Networks | CNN | Kern...   Neural Networks - Feedforward Algorithm | Matrix Math behind | Forward Propagation in a Deep Network.    • Neural Networks - Feedforward Algorithm | ...   Deep Learning Playlist    • Deep Learning