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Showing posts from December 6, 2022

How to Git (Part 1): Git and GitHub

 Git is a version control system that is used for tracking changes in computer files and coordinating work on those files among multiple people. It is primarily used for source code management in software development, but it can be used to keep track of changes in any set of files. In this post, we will show how to create a repository using Git and push it to GitHub using git commands.  You need to install Git on your computer before you can use it. The most recent version should probably be updated even if it is already installed. You can either download the source code and compile it yourself, or you can install it as a package or through another installer.  To install Git follow the steps explained in this tutorial  Once you have installed Git, you can use it to initialize a new repository for your project by running the following command in a terminal or command prompt: $ cd ~/Users/Abdul $ mkdir NewRepo $ git init This will create a new directory called .git in your project fo

Multi-Label Classification with Deep Learning

In machine learning, multilabel classification is a classification task where multiple labels may be assigned to each instance. This is in contrast to traditional classification, where each instance is assigned only one label. Multilabel classification is useful in cases where there are multiple possible labels for a single instance, and each label represents a different aspect or category of the data. For example, an image recognition system might be trained to recognize multiple objects in an image, such as a cat, a dog, and a person, and assign one or more labels to each image accordingly. Because each instance can have multiple labels, the output of a multilabel classification model is often represented as a binary matrix, where each column corresponds to a different label and each row corresponds to a different instance. How to create a convolutional neural network for multilabel classification in TensorFlow! To create a convolutional neural network (CNN) for multilabel classifica

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