October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Defining the project structure
Let's structure our project as shown in the following pattern:
- hy_param.py: All the hyperparameters and other configurations are defined here
- model.py: The definition and architecture of the model are defined here
- train.py: The code to train the model is written here
- inference.py: The code to execute the trained model and make predictions is defined here
- /runs: This folder will store all of the checkpoints that get created during the training process
You can clone the code from the repository—the code for this can be found in the Chapter02 folder, available at https://github.com/PacktPublishing/Python-Deep-Learning-Projects/.
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