Concept:
Deep learning is a specialized branch of Artificial Intelligence that uses neural networks with multiple layers to learn patterns from data. To develop and train such models efficiently, programmers use deep learning frameworks.
Step 1: Understand TensorFlow.
TensorFlow is an open-source deep learning framework developed by:
It provides tools for:
• Building neural networks.
• Training machine learning models.
• Image recognition.
• Natural language processing.
• Deep learning research.
Step 2: Examine the other options.
NumPy is primarily used for numerical computing and array operations.
Pandas is used for data analysis and manipulation.
Matplotlib is used for data visualization and plotting graphs.
Although these libraries are useful in machine learning projects, they are not deep learning frameworks.
Step 3: Importance of TensorFlow.
TensorFlow supports:
• Large-scale neural network training.
• GPU acceleration.
• Model deployment.
• Research and industrial AI applications.
Therefore it is classified as a deep learning framework.
Step 4: Conclusion.
Among the given options, TensorFlow is the deep learning framework.
Hence, option (C) is correct.