An example of a fully connected neural network in Keras The files in this directory are meant to build on each other in an order - starting with just defining a new neural network, and building towards predictions, saving and loading, and testing and evaluating the models.
Create a Fully Neural Network create_network.py
train_sample_data.py
Separate Training and Validation Data validation_split.py
Manually Set Validation Data validation_data.py
evaluate_model.py
Changing the Network Topology deep_network.py
Viewing a Summary of the Model model_summary.py
Use the Model to Make Predictions predict.py
save_model.py
Load the Model from a File load_model.py
Create a Network for Binary Classification (2 Classes) binary_classification.py
import_csv.py
predict_classes.py
Create a Mutli-class Classification Network multi_class_model.py
Change the Learning Rate of the Network change_learning_rate.py
Change the Learning Rate During Training change_lr_and_keep_training.py
Load and Continue Training a Model continue_training_model.py