Python Deep Learning Projects

Defining hyperparameters for training

The following are some of the hyperparameters that have been defined that we will be using throughout our code. These are totally configurable: 

# Number of epochsepochs = 3# Batchsizebatch_size = 128# Optimizer for the modeloptimizer = Adam(lr=0.0001, beta_1=0.5)# Shape of the input imageinput_shape = (224, 224, 3)# Batch interval at which loss is to be storedstore = 40

Experiment with different learning rates, optimizers, batch size, as well as smoothing value to see how these factors affect the quality of your model. If you get better results, show these to the deep learning community.