Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
images, while the dev and test sets have all the camera images. In this case, the distribution of the training set will be different from the dev and test sets and hence, there’s a good chance we might not get good results. In cases like these (different distributions), we can follow the following