The Intersection of AI and Mechanical Engineering – My lab at CMU is focusing on bringing machine learning and artificial intelligence into all areas of… Read More »The Intersection of AI and Mechanical Engineering
Using AI and Machine Learning to Design, Teach, and Diagnose – So we’re working on several different projects, but the main theme is employing machine… Read More »Using AI and Machine Learning to Design, Teach, and Diagnose
How to evaluate your image classification model – Here is one of the trained model for MNIST image classification. As a response to the common… Read More »How to evaluate your image classification model
Support vector machine is one of the best nonlinear supervise to machine learning models. Given a set of labeld training data SVM will help us… Read More »Support Vector Machines: All you need to know!
How to evaluate classification model – Confusion Matrix, The earliest reference to the concept had been made by British Statistician Karl Pearson in 1904, which… Read More »How to evaluate classification model: Confusion Matrix
Softmax, Cross Entropy – Hello everyone! Welcome to part two of the image classification with Pytorch series. In this article, we are going to continue… Read More »Softmax, Cross Entropy: Image Classification with Pytorch
Backpropagation and Gradient Descent – In this article, we are going to continue our project by explaining two important concepts in deep learning: backpropagation and… Read More »Backpropagation and Gradient Descent: Image Classification with Pytorch
K means clustering: Explained with Jupyter Notebook – In this tutorial, we are going to introduce K-means clustering algorithm. All right, let’s get started. K-means… Read More »K means clustering: Explained with Jupyter Notebook