Master multi-task learning techniques for neural networks, enabling models to handle multiple objectives simultaneously and improve generalization. Explore implementations using Keras and PyTorch through Stanford lectures on YouTube and hands-on Coursera projects, covering transfer learning, meta-learning, and catastrophic forgetting prevention strategies.
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