mathDR

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn

from scipy.signal import savgol_filter

pop_data = pd.read_csv('world_population.csv') # Note, this is the file located at https://github.com/Brideau/GeospatialLineGraphs/tree/master/GeneratedData

mathDR

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mathDR

'''Trains a simple convnet on the MNIST dataset.
Does flat increment from T. Xiao  "Error-Driven Incremental Learning in Deep Convolutional 
Neural Network for Large-Scale Image Classification"
Starts with just 3 classes, trains for 12 epochs then 
incrementally trains the rest of the classes by reusing 
the trained weights.
'''

from __future__ import print_function
import numpy as np