Deep Learning with PyTorch
Deep Learning with PyTorch is an online workshop series that gives you a solid foundation to use Pytorch. It covers the following topics:
- PyTorch Basics & Linear Regression
- Image Classification with Logistic Regression
- Training Deep Neural Networks on a GPU with PyTorch
- Image Classification using Convolutional Neural Networks
- Residual Networks, Data Augmentation, and Regularization
- Training Generative Adversarial Networks (GANs)
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Deep Learning with PyTorch: Zero to GANs Introduction
PyTorch Tutorial for Beginners | Basics & Gradient Descent | Tensors, Autograd & Linear Regression
Working with Images (MNIST) | PyTorch Images and Logistic Regression | Model Training and Validation
Training Deep Neural Networks on a GPU | Deep Learning with PyTorch (3/6)
Image Classification using CNNs | Deep Learning with PyTorch (4/6)
Data Augmentation, Regularization & ResNets | Deep Learning with PyTorch (5/6)
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