Object Detection

YOLO

 https://www.section.io/engineering-education/introduction-to-yolo-algorithm-for-object-detection/

https://towardsdatascience.com/yolo-you-only-look-once-real-time-object-detection-explained-492dc9230006

https://machinelearningmastery.com/how-to-perform-object-detection-with-yolov3-in-keras/

CNN - Architectures

Batch Normalization:

https://machinelearningmastery.com/batch-normalization-for-training-of-deep-neural-networks/ 

Well known Architectures:

https://towardsdatascience.com/an-overview-of-resnet-and-its-variants-5281e2f56035

Data Augmentation:

https://www.pyimagesearch.com/2019/07/08/keras-imagedatagenerator-and-data-augmentation/

CNN Basics

 Good Read:

https://towardsdatascience.com/conv2d-to-finally-understand-what-happens-in-the-forward-pass-1bbaafb0b148

https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53

Stride:

Definition from https://deepai.org/machine-learning-glossary-and-terms/stride:

"Stride is a parameter of the neural network's filter that modifies the amount of movement over the image or video. For example, if a neural network's stride is set to 1, the filter will move one pixel, or unit,  at a time."

Dilation:

Dilation is the number of pixels to skip during convolution operation.