In this article, we will discuss Performance Monitoring Tools for Docker. There are several performance monitoring tools available for Docker, which allow you to monitor and optimize the performance of your Docker containers and applications. Here are some of the popular tools: Docker Stats: Docker Stats is a built-in tool that provides real-time metrics for …
Advanced Git Concepts – Gitignore, Git Hooks, Git Stash, and Git Rebase
The following article explains Advanced Git Concepts like Gitignore, Git Hooks, Git Stash, and Git Rebase. gitignore Create a new Git repository or navigate to an existing one. Create a file named “.gitignore” in the root directory of your project. Open the “.gitignore” file in a text editor. Add patterns to the file to specify …
Git Best Practices
The following article explains Git Best Practices. Brief Introduction to Git Best Practices Committing Frequently One of the best practices in Git is to commit frequently. Instead of making large, sweeping changes and committing them all at once, it is recommended to make small, logical changes and commit them separately. In fact, this practice has …
How Does Amazon EBS Differs From S3 Storage?
The following article on How Does Amazon EBS Differs From S3 Storage highlights important differences between EBS and S3 in AWS. Amazon Elastic Block Store (EBS) and Amazon Simple Storage Service (S3) are both storage services provided by Amazon Web Services (AWS), but they have distinct characteristics and use cases. The following list shows the …
How to Use CNNs for Image Recognition?
In this article, I will explain CNNs for Image Recognition. Convolutional Neural Networks (CNNs) are a popular type of neural network for image recognition tasks. They are effective at automatically learning and extracting relevant features from raw image data without the need for manual feature engineering. In a typical CNN architecture for image recognition, the …
How to Use CNNs in Computer Vision?
In this article, I will explain How to Use CNNs in Computer Vision. Convolutional Neural Networks (CNNs) are commonly used in computer vision for various tasks such as image classification, object detection, and semantic segmentation. Here are some steps to follow when using CNNs in computer vision: Prepare the dataset: Collect and preprocess the dataset …
How to Use RNNs in Natural Language Processing?
In this article, I will explain How to Use RNNs in Natural Language Processing. Recurrent Neural Networks (RNNs) are commonly used in Natural Language Processing (NLP) for various tasks such as language modeling, machine translation, and sentiment analysis. Here are some steps to follow when using RNNs in NLP: Prepare the dataset: Collect and preprocess …
How o Perform Training Neural Networks Using Backpropagation
In this article, I will explain how to perform Training Neural Networks Using Backpropagation. Backpropagation is the primary algorithm used to train neural networks. It is a supervised learning algorithm that involves iteratively adjusting the weights of a neural network to minimize the difference between the predicted output and the target output. Here are the …
What are Recurrent Neural Networks?
In this article, I will explain What are Recurrent Neural Networks. Recurrent Neural Networks (RNNs) are a type of neural network commonly used for sequence modeling tasks such as natural language processing and speech recognition. Unlike feedforward neural networks, which process inputs independently and produce outputs based solely on the current input, RNNs have a …
How to Use Appropriate Optimizers in Deep Learning?
I this article, I will explain How to Use Appropriate Optimizers in Deep Learning. Optimizers are algorithms used in deep learning to update the weights of a neural network during the training process. They work by computing the gradients of the loss function with respect to the weights and then updating the weights in the …