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Contents:
0:00 Introduction.
0:22 A brief overview of the project.
1:52 Project configuration and start code.
3:11 Install and import dependencies and define global variables
3:49 Download and examine the dataset files.
5:15 Upload the dataset to S3 and define data channels
6:00 Comparison between `train_model` and `hpo` scripts
8:30 Passing hyperparameters and data channels to training scripts
9:50 create_data_loaders() function
11:19 net() function
11:45 train() and test() functions.
12:41 main() function.
13:27 Add function model_fn().
14:20 How to test your model training scripts locally.
15:16 Hyperparameter tuning.
18:08 Model profiling and debugging
23:28 Model implementation
26:52 Off
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