What are some advanced features of TensorFlow?
TensorFlow offers several advanced features like TensorBoard for visualization, eager execution, and custom training loops.
Can you explain how TensorBoard works?
TensorBoard is a visualization tool that helps you understand your model's training process by displaying metrics like loss and accuracy.
What is eager execution and why is it useful?
Eager execution allows operations to be evaluated immediately, making debugging easier and enabling a more intuitive coding style.
How do I implement custom training loops in TensorFlow?
You can implement custom training loops by using the tf.GradientTape
context manager to compute gradients and update model weights manually.
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