April 2018
Beginner to intermediate
500 pages
11h 26m
English
Premade estimators are similar to the methods available in packages such as scikit-learn, where the input features and output labels are specified, along with the various hyperparameters. A method can then optimize for solving a loss function that is predefined to a default value but can be varied by passing a different function in a parameter.
Let's explore building the training and test datasets in the code:

The shapes of images and labels are as follows:
The premade function works on label value instead of ...
Read now
Unlock full access