TensorFlow's high-level API Keras allows us to develop models in a simple way where we don't really have to see gradient descent in action. This makes model development easy, but it's definitely helpful to always know how algorithms work behind the scenes to make sure we have strong foundations.
In this tutorial, we implement model training from scratch using the lower-level TensorFlow APIs - with tensors, tensor operations, and automatic differentiation, as we learned in previous tutorials.
Code: https://www.tensorflow.org/beta/tutor...
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