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Perceptron Explained in 2 Minutes
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=tEkjw0hNN_w
In this video, you'll learn about one of the fundamental building blocks of artificial neural networks: the single layer perceptron. A perceptron is a type of artificial neuron that takes in multiple inputs, applies weights to each input, sums them up, and passes the result through an activation function to produce an output. • In this video, we'll focus on the single layer perceptron, which means we'll only have one layer of these neurons. You'll learn how to represent the inputs and weights as vectors and matrices, and how to perform matrix multiplication to compute the weighted sum of the inputs. We'll also cover some common activation functions, such as the step function and the sigmoid function. • You'll see how the perceptron can be trained using a simple algorithm called the perceptron learning rule. This algorithm adjusts the weights of the inputs based on the error between the predicted output and the actual output. We'll show you how to visualize the decision boundary of a perceptron, which is the line that separates the inputs into two classes. • Finally, we'll discuss some of the limitations of the single layer perceptron, such as its inability to handle non-linearly separable data. We'll also touch on some extensions of the perceptron, such as multi-layer perceptrons and convolutional neural networks, which can overcome some of these limitations. • By the end of this video, you'll have a solid understanding of how the single layer perceptron works, how it can be trained, and some of its limitations and extensions. Whether you're a beginner or an experienced machine learning practitioner, this video is a great introduction to the fascinating world of artificial neural networks. • Tutorial: https://sefiks.com/2020/01/04/a-step-... • Please Subscribe! That's what keeps me going ► https://bit.ly/40NfIS7 • Want more? Connect with me here: • Blog: https://sefiks.com/ • Twitter: / serengil • Instagram: / serengil • Facebook: / sefikscom • Linkedin: / serengil • If you do like my videos, you can support my effort with your financial contributions on • Patreon: https://www.patreon.com/serengil?sour... • GitHub Sponsors: https://github.com/sponsors/serengil • Buy Me a Coffee: https://buymeacoffee.com/serengil
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