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#FA 002 Face Detection with OpenCV

Face detection represents the ability of a computer technology to locate peoples’s faces within digital images. Face detection applications employ algorithms focused on detecting human faces within larger images that also contain other objects such as landscapes, houses, cars and others. Table of Contents: Import required packages Select the network Preprocess the image, standardise, mean subtraction Process the image with a Neural Network Analyze detections The importance of face detection can be seen as: The…
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FR 001 Face Recognition with Celebrities

Highlights: In the world today, there are a lot of visual data and it is important how we utilize and interpret this data. The project is more of an evolution between traditional algorithms and deep learning techniques. How accurately can we predict and find the correct name of the celebrity in a given image or video frame. Tutorial Overview: This post covers the following topics: What is a facial recognition system? Applications of face recognition.…
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# K An implementation of a Shallow Neural Network in Keras – MNIST dataset

In this post we will see how we can classify handwritten digits using shallow neural network implemented in Keras. Our model will have 2 layers, with 64(height x width) neurons in the input layer and 10 neurons in the output layer.We will use normal initializer that generates tensors with a normal distribution. The optimizer we’ll use is Adam .It is an optimization algorithm that can be used instead of the classical stochastic gradient descent procedure…
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#K An implementation of a Shallow Neural Network in Keras – Spirals dataset

In this post we will see how we can classify a spirals dataset with a shallow neural network implemented in Keras. Let’s start by importing libraries that we will need in the our code. Here, we will make our dataset and divide it into training and testing set. Let’s now create a shallow neural network! Next, we will make predictions and plot the accuracy and loss function of our model. Now, we will make some…
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# K An implementation of a Shallow Neural Network in Keras – Moons dataset

In this post we will learn how to make classification of Moons dataset with a shallow neural network implemented in Keras. With the following code we are going to import all libraries that we will need. First, we will generate data set, then we will split it into training and test set. We will also print dimensions of these datasets. With the following code we will make a shallow neural network. Our shallow neural network…
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