Get started with using TensorFlow to solve for regression problems (Coding TensorFlow)
You often have to solve for regression problems when training your machine learning models. In this episode of Coding TensorFlow, Developer Advocate Robert Crowe discusses how to build and train a TensorFlow model using Keras, where you are looking for the model to solve for a single numerical result – in other words, regression.. Learn how to get started on regression problems, and watch to see an example involving miles-per-gallon. This requires our model to examine and learn from the data we provide, in order to predict our final number. Subscribe to the TensorFlow YouTube channel for more! → http://bit.ly/TensorFlow1
Get the Colab & follow along here → https://www.tensorflow.org/tutorials/keras/regression
UCI dataset repository → http://bit.ly/2k2xH8i
Watch more Coding TensorFlow → https://bit.ly/Coding-TensorFlow
