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Tag: Neural Network

# 020 Overview of Semantic Segmentation methods

08.11.2021

Highlights: Hello and welcome back. In this post, we will see how we can use Neural Networks for the segmentation task. To be more precise, it will be about Semantic Segmentation. The goal of Semantic Segmentation is to label each pixel of an image with a corresponding class. We will cover some of the most popular Deep Learning models for segmentation: Fully Convolutional Neural Network SegNet U-Net Tutorial Overview: What is Semantic Segementation? Types of segmentations Fully Convolutional Neural…
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# 019 Siamese Network in PyTorch with application to face similarity

07.11.2021

Highlights: Hello and welcome back. In today’s post, we’ll discuss and learn a very interesting neural network architecture. We will discuss Siamese Neural Networks, whose goal is to calculate a similarity between two given images. For example, it should tell us how similar two faces are. Siamese networks were first introduced in the early 1990s by Bromley and LeCun[1] to solve signature verification as an image matching problem It is a very popular solution when it comes…
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# TF Implementing a VGG-19 network in TensorFlow 2.0

07.05.2020

Highlights: In this post we will show how to implement a fundamental Convolutional Neural Network like \(VGG-19\) in TensorFlow. The VGG-19 architecture was design by Visual Geometry Group, Department of Engineering Science, University of Oxford. It competed in the ImageNet Large Scale Visual Recognition Challenge in 2014. Tutorial Overview: Theory recapitulation Implementation in TensorFlow 1. Theory recapitulation With ConvNets becoming more of a popular in the computer vision field, a number of attempts have been made to improve the…
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#007 TF 2.0 An implementation of a Shallow Neural Network in tf.keras – Spirals dataset

20.01.2020

Highlights: In this post we will see how we can classify a spirals dataset with a shallow neural network implemented in TensorFlow 2.0. Tutorial Overview: Imports and Dataset preparation Building a Neural Network Visualization 1. Dataset: import and preparation Let’s start by importing libraries that we will need in our code. Last time we were using a function from sklearn to create a dataset. Now we are going to make our dataset from scratch. First,…
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#006 TF 2.0 An implementation of a Shallow Neural Network in tf.keras – Moons dataset

20.01.2020

In this post we will learn how to make a classification of Moons dataset with a shallow Neural network. The Neural Net we will implemented in TensorFlow 2.0 using Keras API. With the following code we are going to import all libraries that we will need. First, we will generate a random dataset, then we will split it into train and test set. We will also print dimensions of these datasets. With the following code…
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