What are the differences between TensorFlow and Keras?
An example of an AI chatbot conversation about TensorFlow and Keras differences.
What are the differences between TensorFlow and Keras?
TensorFlow is a comprehensive open-source platform for machine learning, while Keras is a high-level API built on top of TensorFlow that simplifies model building.
Can I use Keras without TensorFlow?
Yes, Keras can run on top of other backends like Theano or CNTK, but TensorFlow is the most commonly used backend.
Which one should I use for a beginner?
Keras is generally recommended for beginners due to its user-friendly interface and simplicity in building neural networks.
Are there any performance differences between them?
TensorFlow can be more performant for large-scale models and complex tasks, while Keras may be slower for very large datasets due to its abstraction.
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