Deep Learning

  • Using massive amount of data and computational power for accurate and robust reasoning based on data

Data Preparation

How to manipulate data into a form suitable for analysis, processing, and training.


Tutorials in deep learning using TensorFlow as the learning framework.


Autoencoders and their implementations in TensorFlow

by Hadi Kazemi on 2017-06-20 10:09:19

In this post, you will learn the concept behind Autoencoders as well how to implement an autoencoder in TensorFlow.

Logistic Regression using TensorFlow

by Amirsina Torfi on 2017-06-11 23:43:46

In this tutorial, the objective to decide whether the input image is digit "0" or digit "1" using Logistic Regression. In we are aimed to implement logistic regression for binary classification.

Linear Regression using TensorFlow

by Amirsina Torfi on 2017-06-04 23:51:27

In the linear regression, the linear relationships will be modeled by a predictor function which its parameters will be estimated by the data and is called a Linear Model. In this tutorial, we will introduce how to train a linear model using TensorFLow and how to showcase the generated model.

Introduction to TensorFlow Variables: Creation, Initialization

by Amirsina Torfi on 2017-05-13 13:40:45

The defined variables in TensorFlow are just tensors with certain shapes and types. The tensors must be initialized with values to become valid. In this tutorial, we are going to explain how to define and initialize variables.