path2ml.comMulti-Agent Loan Processing AgenticAIIn 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...Feb 18·13 min read
path2ml.comImplementing LSTM RNN using PytorchPreviously, 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...Jan 31·13 min read
path2ml.comImplementing a ResNet-34 CNN Using PyTorchA 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...Jan 29·7 min read
path2ml.comDeep learning using Pytorch on Images datasetThe 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...Jan 28·9 min read
path2ml.comConvolutional Neural NetworkA convolutional neural network (CNN) is an advanced deep learning architecture designed for the identification and classification of images. In addition to image recognition, CNNs are utilized for object detection within images, audio classification,...Jan 27·5 min read
