How can I debug my TensorFlow pipeline effectively?
Debugging TensorFlow pipelines can be challenging. You can start by using TensorFlow's built-in debugging tools like tf.print and tf.debugging.
What are some common issues I might encounter?
Common issues include shape mismatches, data type errors, and problems with the input pipeline. Checking logs can help.
Are there any specific tools or libraries you recommend?
Yes, tools like TensorBoard for visualization and tf.data for efficient data handling can be very helpful.
How can I visualize the data flow in my pipeline?
You can use TensorBoard to visualize the computation graph and track the flow of data through your pipeline.
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