TensorFlow Tutorial: Deep Learning for Beginner’s

Training Summary

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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?

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

Course Syllabus

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
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
Tutorial	Expert System in Artificial Intelligence: What is, Applications, Example
Tutorial	TensorFlow Tutorial PDF