Specifically for the classification task, the goal is, for each of the classes predict the presence/ absence of at least one object of that class in a test image. We will use Pascal VOC 2012 dataset ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...
SunFounder has sent me a review sample of the Fusion HAT+ Raspberry Pi expansion board designed for motor and servo control ...
Learn how to compute and visualize electric field vectors using Python. This tutorial walks you through coding the physics behind electric fields and creating clear, interactive visualizations to make ...
Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...