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TensorFlow Tutorial: Deep Learning for

Beginner’s
Training Summary

Google's TensorFlow is an open-source and most popular deep learning library for
research and production. This course covers basics to advance topics like linear
regression, classifier, create, train and evaluate a neural network like CNN, RNN, auto
encoders etc. Refer these machine learning tutorial, sequentially, one after the other,
for maximum efficacy of learning.

What should I know?

The online guide is designed for beginners with little or no TensorFlow Experience.
Though basic understanding of Python is required.

Course Syllabus
Introduction
 Tutorial What is TensorFlow? Introduction, Architecture & Example

 Tutorial How to Download and Install TensorFLow Windows and Mac

 Tutorial What is Jupyter Notebook? Complete Tutorial

 Tutorial TensorFlow Basics: Tensor, Shape, Type, Graph, Sessions & Operators

Advanced Stuff
 Tutorial Tensorboard Tutorial: Graph Visualization with Example

 Tutorial Python Pandas Tutorial: Dataframe, Date Range, Slice


 Tutorial Import CSV Data using Pandas.read_csv()

 Tutorial Linear Regression with TensorFlow [Examples]

 Tutorial Linear Regression for Machine Learning

 Tutorial Linear Classifier in TensorFlow: Binary Classification Example

 Tutorial Kernel Methods in Machine Learning: Gaussian Kernel (Example)

 Tutorial Neural Network Tutorial: TensorFlow ANN Example

 Tutorial ConvNet(Convolutional Neural Network): TensorFlow Image Classification

 Tutorial Autoencoder in Deep Learning: TensorFlow Example

 Tutorial RNN(Recurrent Neural Network) Tutorial: TensorFlow Example

 Tutorial Apache Spark Tutorial: Machine Learning with PySpark and MLlib

 Tutorial Scikit-Learn Tutorial: Machine Learning in Python

Must Know!
 Tutorial 10 BEST TensorFlow Books

 Tutorial TensorFlow Tutorial PDF

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