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Tag: neural network

Create Layer Class

We’re going to see in this lesson: 4.7.1 What is a Layer In this lesson we will see how from a neuron we can create a Layer.I’ve bounded the neuron with a green rectangle, and we can call that Output layer (see image below). A layer can contain more neurons, and multiple layers can be fully […]

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Add multiple Images , neural network

In this lesson we’re going to see how to add multiple images to train the neuron with. In addition to the vertical white line image we used in the previous lesson, we’re adding also the horizontal white line, so that the neuron will be trained for both of them. In this lesson you will learn: […]

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Train the Neuron Neural network

In the previous lesson the Neuron that we created wasn’t able to identify correctly the vertical image, so our goal right now is training the neuron so that it can correctly perform that operation. You will learn: 1. Calculate the error Calculating the error is a crucial operation to understand how wrong the neuron was […]

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Create an automatic image classifier

You will learn: Find the filter automatically In the previous lesson we learnt how to create a really simple image classifier that was able to detect if the image was a horizontal line or a vertical line.The drawback of that classifier was that we needed to create manually the filter to classify the images. So […]

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YOLO object detection using Opencv with Python

We’re going to learn in this tutorial YOLO object detection. Yolo is a deep learning algorythm which came out on may 2016 and it became quickly so popular because it’s so fast compared with the previous deep learning algorythm. With yolo we can detect objects at a relatively high speed. With a GPU we would […]

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