Are there any specific loss functions or training techniques that can be used in Caffe to effectively learn from weakly supervised data?
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what is caffe model Informational
- Can you resume training from a saved Caffe model state? What are the limitations of the original Caffe framework?
- How can you process text data using Caffe models?
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- What is the process for writing a custom layer in Caffe?
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- Are there any specific layer types or data input strategies for combining different types of data (e.g., image and text) in Caffe?
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