TensorFlow Conv2D operation in TensorFlow In this article, we have explained Conv2D operation in TensorFlow along with API definition and Python implementation.
Machine Learning (ML) Volumetric Image Segmentation In this article, we have explored the Machine Learning application: Volumetric Image Segmentation in depth and covered the different ML models used for it like 3D U-Net.
Machine Learning (ML) 3D U-Net Volumetric Segmentation In this article, we have explored 3D U-Net model which is an enhancement of 2D U-Net model and is used for Volumetric Segmentation applications.
Machine Learning (ML) SSD Model Architecture SSD has been defined as “a method for detecting objects in images using a single deep neural network”. But before we get into that let us first understand what object detection means.
Machine Learning (ML) Linear Activation Function In this article, we have explored Linear Activation Function which is one of the simplest Activation function that can be used Neural Networks.
Machine Learning (ML) Binary Step Function Binary step function is one of the most common activation function in neural networks out there. But before we get into it let's take a look at what activation functions and neural networks are.
C++ Dot Product of Two Vectors in C++ In this article, we have presented two different ways to do Dot Product of Two Vectors in C++. This involves the use of inner_product method in C++ STL (Standard Template Library).