Shypd.aiThe largest open index of AI toolsDeep-Learning-with-PyTorch-Tutorials offers video tutorials and source code for learning deep learning with PyTorch. It provides practical examples and instructions for getting started with PyTorch, covering topics from basic tensors to advanced models like GANs and GCNs.
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Deep-Learning-with-PyTorch-Tutorials is a comprehensive resource providing video tutorials, accompanying source code, and PPTs for individuals looking to learn deep learning with PyTorch. The curriculum covers a wide range of topics, starting from fundamental PyTorch concepts like tensor operations, indexing, and mathematical computations, and progressing to advanced neural network architectures. Users will learn about various models including Logistic Regression, Multi-Layer Perceptrons (MLP), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, Autoencoders, Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Graph Convolutional Networks (GCNs). The tutorials also delve into essential deep learning concepts such as gradients, activation functions, loss functions, optimization techniques, regularization, and data augmentation. Practical examples and real-world applications, like MNIST testing and Cifar10 classification, are included to facilitate hands-on learning and skill development.
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