Dive into a comprehensive 2.5-hour tutorial series on PyTorch for Python 3.5, covering essential concepts from basic linear models to advanced convolutional neural networks. Learn about gradient descent, back-propagation, autograd, and implement linear and logistic regression using PyTorch. Explore data handling with PyTorch DataLoader, understand softmax classifiers, and delve into both basic and advanced CNN architectures. Gain insights into wide and deep learning models, and wrap up with a quick 5-minute PyTorch overview. Master the fundamentals and advanced techniques of PyTorch to enhance your deep learning skills.