H13-311_V3.5 · Question #112
What are the algorithms supported by Tensorflow? (Multiple Choice}
The correct answer is A. GNN C. RNN (Rig ht Answers). TensorFlow supports both GNN (Graph Neural Networks) and RNN (Recurrent Neural Networks) as established neural network architectures within its ecosystem. RNNs are natively supported through tf.keras.layers.RNN, LSTM, and GRU layers for sequential data processing, while…
Question
What are the algorithms supported by Tensorflow? (Multiple Choice}
Options
- AGNN
- BZNN
- CRNN (Rig ht Answers)
- DHUT
How the community answered
(53 responses)- A75% (40)
- B8% (4)
- D17% (9)
Explanation
TensorFlow supports both GNN (Graph Neural Networks) and RNN (Recurrent Neural Networks) as established neural network architectures within its ecosystem. RNNs are natively supported through tf.keras.layers.RNN, LSTM, and GRU layers for sequential data processing, while TensorFlow GNN is a dedicated library for graph-structured data. ZNN (option B) is not a recognized machine learning algorithm or TensorFlow-supported architecture - it appears to be a fabricated distractor. Similarly, HUT (option D) is not a real neural network paradigm and has no presence in TensorFlow's API or documentation.
Memory tip: Think of the letters that represent real neural network families - R for Recurrent (time-series, NLP) and G for Graph (network/relationship data). If you've never encountered "ZNN" or "HUT" in any ML textbook or documentation, trust that instinct on exam day.
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