Keras2TF Example Preamble

keras2TF_preamble.py

# 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]))