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Articles on Deep Learning
Overview What if your CI/CD pipeline could think? Not just run lint and tests, but actually understand your code changes, generate tests for new functions, and write a risk assessment with inline code
Getting reliable, structured (JSON) responses from Large Language Models is harder than it looks. The magentic library, paired with Pydantic, lets you define the shape of your expected output as a Pyt
In this blog post, we will explore the implementation of a multi-agent loan processing system using the crewAI framework. This innovative approach leverages advanced artificial intelligence to streamline and automate the various stages of loan proces...
Previously, I wrote an article titled "Recurrent Neural Network," where I delved into the inner workings of Recurrent Neural Networks (RNNs) and their significance in the field of machine learning. Subsequently, I provided a tutorial “Implementing LS...
A while ago, I authored an article Implementing ResNet CNN that provided a detailed explanation of ResNet Convolutional Neural Networks (CNN) along with an implementation using TensorFlow. In this upcoming article, we will take a closer look at ResNe...
The CIFAR-10 dataset is a widely used collection of images in the field of machine learning. It consists of 60,000 32x32 color images categorized into 10 different classes, with each class containing 6,000 images. These classes include airplanes, aut...
