From Basics to Advanced Deep Learning Training(AI)
What you will learn
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Understand PyTorch fundamentals, including tensors and computation graphs
Build and train neural networks using PyTorchβs nn_Module
Preprocess and load datasets with DataLoaders and custom datasets
Implement advanced architectures like CNNs, RNNs, and Transformers
Perform transfer learning and fine-tune pre-trained models
Optimize models using hyperparameter tuning and regularization
Deploy trained models using TorchScript and cloud services
Debug and troubleshoot deep learning models effectively
Develop custom layers, loss functions, and models
Collaborate with the PyTorch community and contribute to open-source projects
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