Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
dropout of 0.5 to all these images. The model will randomly remove 50% of the units from each layer and we finally end up with a much simpler network: This has proven to be a very effective regularization technique. How can we implement it ourselves? Let’s check it out! We will be working on this