Fire Classifier Model (MLPv2)

• This model fixes an error in the last layer, replacing the incorrectly used softmax activation function with sigmoid
• Reduces memory size by saving only the model weights and biases (aka "parameters") to an H5 file, and the information about the model architecture (i.e. the "layers" of the neural network) to JSON