PyTorch Zero to All

Dive into a comprehensive series of lectures covering fundamental Machine Learning and Deep Learning concepts using PyTorch. Learn about linear models, gradient descent, back-propagation, autograd, linear and logistic regression, wide and deep networks, PyTorch DataLoader, softmax classifiers, Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs). Explore advanced topics in CNNs and RNN classification. Gain hands-on experience with PyTorch implementation throughout the course. Conclude with an introduction to NSML, a machine learning platform designed to streamline model development.