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Logistic Regression using TensorFlow

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. [Read more ...]



Linear Regression using TensorFlow

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. [Read more ...]





TensorFlow Installation from the Source

This tutorial deals with installing the TensorFlow deep learning framework from the source. Installation from the source is recommended because the user can build the desired TensorFlow binary for the specific architecture. It enriches the TensoFlow with a better system compatibility and it will run much faster. [Read more ...]













Undrestanding Convolutional Layers in Convolutional Neural Networks (CNNs)

2D Convolutional Layers constitute Convolutional Neural Networks (CNNs) along with Pooling and fully-connected layers and create the basis of deep learning. So if you want to go deeper into CNNs and deep learning, the first step is to get more familiar with how Convolutional Layers work. Here, you will learn about calculations which are done inside a Convolutional layer and then you will write your own layer inside python (using numpy). [Read more ...]





Image Filtering

A comprehensive tutorial towards 2D convolution and image filtering (The first step to understand Convolutional Neural Networks (CNNs)) [Read more ...]





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We started to create our posts. Our main goal is education and help other to understand concepts in depth by providing friendly tutorials. [Read more ...]



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