Basic Operations in Tensorflow

This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation, for both TF v1 & v2.

It is suitable for beginners who want to find clear and concise examples about TensorFlow. Besides the traditional 'raw' TensorFlow implementations, you can also find the latest TensorFlow API practices (such as layers, estimator, dataset, ⋯).

Update (08/17/2019): Added new TensorFlow 2.0 examples! (more coming soon).

If you are using older TensorFlow version (0.11 and under), please take a Look here!

In [1]:

# Analysis and processing of data
import pandas as pd
import numpy as np
import random as rnd

# visualization
import seaborn as sns
import Matplotlib.pyplot as plt
%mataplolib inline

# machine learning
from sklearn.neighbors import KNeighborsClassifier