What are some advanced features in TensorFlow?
TensorFlow offers several advanced features like TensorBoard for visualization, Keras for high-level API, and TF Data for efficient data loading.
Can you explain how TensorBoard works?
TensorBoard is a visualization tool that helps you understand, debug, and optimize your TensorFlow programs by providing visual insights into your model's training process.
What is the role of Keras in TensorFlow?
Keras is a high-level API in TensorFlow that simplifies building and training deep learning models, making it more user-friendly.
How does TF Data improve data loading?
TF Data provides a flexible and efficient way to load and preprocess data, allowing for better performance and scalability in training models.
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