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Simple Tensorflow example on iris dataset

This one trains the DNN on iris and also create confusion matrix. Comments will help you know what is happening.



from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split

# Load data

# Download it from here : Ensure that the categories are #labeled as Iris-setosa, Iris-virginica, Iris-versicolor and their column name as Species.
iris = pd.read_csv("irisdata.csv")

# explore what is loaded

# Convert the data type of columns to float32 type


iris.iloc[:,0:4] = iris.iloc[:,0:4].astype(np.float32)


# encode the classes to numeric values
iris["Species"] = iris["Species"].map({"Iris-setosa":0,"Iris-virginica":1,"Iris…
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