How to Visualize Neural Network Architectures in Python

Often while working with Artificial Neural Networks or other variations like Convolution Neural Networks or Recurrent Neural Networks, we want to visualize and create a diagrammatic representation of our compiled model. There are a few packages readily available in python that can create a visual representation of our Neural Network Models. The first three packages can be used even before a model is trained (the model needs to be defined and compiled only); however, Tensor Boards requires the user to train the model on accurate data before the architecture can be visualized. We don't need to install the "Tensor Board" and "Keras Model Plot" separately. This will come with the initial installation of Tensorflow & Keras.