Master PyTorch Library Completely 2026 + UPDATES

Master PyTorch Library Completely 2026 + UPDATES
Published 8/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch

But this course goes far beyond theory. You will complete multiple mini-projects and real-world projects, including linear and logistic regression, a neural network on MNIST, a CNN on CIFAR-10, transfer learning with ResNet, sentiment analysis with LSTM, an autoencoder for dimensionality reduction, time-series forecasting, and even a Generative Adversarial Network (GAN) for synthetic image generation. Additionally, the course includes advanced topics such as Vision Transformers, graph neural networks, deployment with TorchScript and ONNX, mixed precision training, distributed data parallel, and model quantisation.
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