Deep Learning - Deep Neural Network for Beginners Using Python - Dropout

The video tutorial explains the structure of neural networks, focusing on layers and nodes. It highlights the issue of node dominance during training and introduces dropout as a solution to ensure equal importance among nodes. The tutorial covers how dropout is implemented in Python libraries like Pytorch and Tensorflow, and its impact on forward feed and backpropagation processes.

What are some common values for dropout, and how do they influence the training process?

Describe the process of how neurons are turned on and off during training with dropout.