Perceptron From Scratch in Python











############################# Video Source: www.youtube.com/watch?v=xYRm2hAEVik

In this video, you'll learn how to build a single layer perceptron from scratch using Python. You'll start by understanding the basic concepts behind the perceptron, including how it works and how it can be used for binary classification tasks. • You'll then dive into the implementation details, starting with the data preparation step. You'll learn how to load and preprocess a dataset, and how to split it into training and testing sets. • Next, you'll learn how to define the perceptron model itself. You'll create a class for the perceptron, and define methods for initializing the weights, computing the activation function, and updating the weights during training. • With the model defined, you'll then move on to the training step. You'll learn how to use the perceptron learning rule to update the weights of the model, and how to iterate over the training data to perform multiple rounds of training. • Once the model is trained, you'll learn how to use it to make predictions on new data. You'll see how to pass the input data through the perceptron and apply the activation function to produce a binary output. • Finally, you'll evaluate the performance of the model by computing metrics such as accuracy, precision, and recall. You'll also learn how to plot the decision boundary of the model, which is the line that separates the input data into two classes. • By the end of this video, you'll have a solid understanding of how to implement a single layer perceptron in Python from scratch. Whether you're a beginner or an experienced machine learning practitioner, this video is a great introduction to the world of neural networks and how to build them using Python. • Technical 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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