What is the relationship between tensorflow and keras?
TensorFlow is a low-level mathematical library for dataflow programming, and Keras is the high-level neural network library built on top of it. TensorFlow can be used alone, but it can get very difficult and unintuitive. Keras makes working on neural networks easier by performing those complicated operations behind the scenes. In practice, you can build common models quickly with Keras, and directly use TensorFlow to get a finer level of control to fulfill different special requirements.
Does Keras come built in with Tensorflow?
Yes, keras is a part of the tensorflow library. Keras can be used to build neural networks on a high level, while all the details are handled by tensorflow. Keras can be used in python, by installing the tensorflow library and importing keras like ```from tensorflow import keras```
Thank you for clarifying that Keras is a part of the TensorFlow library and can be used to build neural networks on a high level. I appreciate your explanation that TensorFlow handles all the details while Keras provides a simpler interface for building and training models. Your instructions for using Keras in Python by installing the TensorFlow library and importing Keras are also very helpful. Thank you for sharing your knowledge on this subject!
Godamm nig