Deep Learning with PyTorch Live Course

Embark on a comprehensive 12-hour live course exploring deep learning with PyTorch. Begin with fundamental concepts like tensors, gradient descent, and linear regression. Progress to working with images and logistic regression, then advance to training deep neural networks on GPUs. Delve into image classification using convolutional neural networks (CNNs), and explore advanced techniques such as ResNet, regularization, and data augmentation. Conclude by learning about Generative Adversarial Networks (GANs) for image generation, providing a well-rounded understanding of deep learning applications using PyTorch.

Deep Learning with PyTorch Live Course - Tensors, Gradient Descent & Linear Regression (Part 1 of 6).
Deep Learning with PyTorch Live Course - Working with Images & Logistic Regression (Part 2 of 6).
Deep Learning with PyTorch Live Course - Training Deep Neural Networks on GPUs (Part 3 of 6).
Deep Learning with PyTorch Live Course - Image Classification with CNNs (Part 4 of 6).
Deep Learning with PyTorch Live Course - ResNet, Regularization and Data Augmentation (Part 5 of 6).
Deep Learning with PyTorch Live Course - GANs for Image Generation (Part 6 of 6).