Explore a comprehensive video tutorial on deep learning optimizers, covering Gradient Descent, Stochastic Gradient Descent (SGD), SGD with Momentum, Adagrad, Adadelta, RMSprop, and Adam. Gain in-depth knowledge of each optimizer's principles, advantages, and applications in machine learning and neural networks. Learn how these optimization algorithms improve model training efficiency and performance through detailed explanations and practical insights.