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@iamsurya
Last active May 31, 2019 19:20
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Keras2TF Example Preamble
# imports
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# Load the data
df = pd.read_csv("slope-lownoise.txt", sep='\t', header=None)
labels = np.asarray(df[0]).reshape((len(df[0]),-1))
data = np.asarray(df.iloc[:,1:])
# Check data
print(labels.shape)
print(data.shape)
# Normalize segments
normdata = np.empty_like(data).astype('float64')
for row in range(len(data)):
normdata[row] = (data[row] - min(data[row])) / (max(data[row]) - min(data[row]))
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