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What are the important steps of tensorflow architecture?
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Answer Posted / Anubhav Sharma
The important steps of TensorFlow architecture are: 1. Preprocessing the data (if necessary), 2. Defining the model structure, 3. Compiling the model (defining loss function and optimizer), 4. Training the model on a dataset, and 5. Evaluating the model.
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