Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
there. How can we improve the accuracy of the model? Is there any way to speed up the training process? These are critical questions to ask, whether you’re in a hackathon setting or working on a client project. And these aspects become even more prominent when you’ve built a deep neural network.