Master Deep Learning with PyTorch Through Hands-On Coding Challenges
What you will learn
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How to build, train, and evaluate neural networks using PyTorch.
Techniques for optimizing deep learning models, including regularization and transfer learning.
Implementation of CNNs and RNNs for complex tasks in image and sequence data.
Practical skills in applying PyTorch to real-world deep learning projects.
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