You are tasked with developing a neural network model for image classification. Which Python library would you prefer for developing such models and why?
- Matplotlib - Matplotlib is a plotting library and is not suitable for developing neural network models.
- Numpy - Numpy is a library for numerical operations and array manipulation, but it doesn't provide high-level neural network functionalities.
- Scikit-learn - While Scikit-learn is a great library for traditional machine learning, it doesn't have the specialized tools required for deep learning tasks.
- TensorFlow - TensorFlow is a widely-used deep learning library with extensive support for neural network development. It offers a high-level API (Keras) that simplifies model building and training, making it a preferred choice for image classification tasks.
TensorFlow is a popular choice for developing neural network models due to its comprehensive support for deep learning, including convolutional neural networks (CNNs) commonly used for image classification. It also provides tools like TensorBoard for model visualization and debugging.
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