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Learning Path
Python Programming for ML → Capstone Project
This path equips CV practitioners with the expertise to build, train, and deploy computer vision models using both PyTorch and TensorFlow. It covers essential deep learning foundations, framework-specific APIs, advanced model architectures, transfer learning, fine-tuning, and deployment strategies, culminating in the ability to design custom architectures for real-world applications.
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21 learning steps · 5 phases. Click any step to inspect it and see it on the Knowledge Map.