Deep Learning, Neural Networks, Keras, Python.
have 17*2=34 trainable parameters. Preparing the model for training model_m.compile(optimizer= Adam(learning_rate = 0.0001), loss = 'sparse_categorical_crossentropy', metrics = ['accuracy'] ) Before we start training our model with actual data, we must compile the model with certain parameters.